HIN Resource: Paper

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Classification

  1. Ralitsa Angelova, Gjergji Kasneci, Gerhard Weikum. Graffiti: graph-based classification in heterogeneous networks. WWW 2012: 139-170. [pdf]
  2. Gupta M, Kumar P, Bhasker B. HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks. Expert Systems with Applications, 2017, 68: 106-122. [pdf]
  3. Phiradet Bangcharoensap, Tsuyoshi Murata, Hayato Kobayashi, Nobuyuki Shimizu. Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization. WSDM 2016: 437-446. [pdf]
  4. Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han. Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136. [pdf]
  5. Mengting Wan, Yunbo Ouyang, Lance Kaplan, Jiawei Han. Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. In Proceedings of the 2015 SIAM International Conference on Data Ming, 2015: 918-926. [pdf]
  6. Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Learning Latent Representations of Nodes for Classifying in Heterogeneous Social Networks. WSDM 2014: 373-382. [pdf]
  7. Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin. HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks. ECIR 2014: 210-221. [pdf]
  8. Siwar Jendoubi, Arnaud Martin, Ludovic Lietard, Boutheina Ben Yaghlane. Classification of Message Spreading in a Heterogeneous Social Network. IPMU 2014. [pdf]
  9. Yang Zhou, Ling Liu. Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks. KDD 2014: 1276-1285. [pdf]
  10. Xiangnan Kong, Bokai Cao, Philip S. Yu. Multi-Label Classification by Mining Label and Instance Correlations from Heterogeneous Information Networks. KDD 2013: 614-622. [pdf]
  11. Scott Deeann Chen, Yingyu Chen, Jiawei Han, Piere Moulin. A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks. ICDM 2013: 997-1002. [pdf]
  12. Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild. Meta Path-Based Collective Classification in Heterogeneous Information Networks. CIKM 2012: 1567-1571. [pdf]
  13. Rafael Geraldeli Rossi, Thiago de Paulo Faleiros, Alneu de Andrade Lopes, Solange Oliveira Rezende. Inductive Model Generation for Text Categorization using a Bipartite Heterogeneous Network. ICDM 2012: 1086-1091. [pdf]
  14. Ming Ji, Jiawei Han, Marina Danilevsky. Ranking-Based Classification of Heterogeneous Information Networks. KDD 2011: 1298-1306. [pdf]
  15. Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao. Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML PKDD 2010: 570-586. [pdf]

Clustering

  1. Li X, Wu Y, Ester M, et al. Semi-supervised Clustering in Attributed Heterogeneous Information Networks. International World Wide Web Conferences Steering Committee, 2017: 1621-1629. [pdf]
  2. Nguyen P, Slominski A, Muthusamy V, et al. Process Trace Clustering: A Heterogeneous Information Network Approach. Proceedings of the 2016 SIAM International Conference on Data Mining Society for Industrial and Applied Mathematics, 2016: 279-287. [pdf]
  3. Vahan Petrosyan, Alexandre Proutiere. Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets. AAAI 2016. [pdf]
  4. Qian Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Qingzhong Li, Xiaoguang Hong. cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks. WAIM 2015: 207-218. [pdf]
  5. Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han. Query-Based Outlier Detection in Heterogeneous Information Networks. Adv Database Technol. 2015: 325-336. [pdf]
  6. Changhe Qiu, Wei Chen, Tenjiao Wang, Kai Lei. Overlapping Community Detection in Directed Heterogeneous Social Network. WAIM 2015: 490-493. [pdf]
  7. Chenguang Wang, Yangqiu Song, Ahmed EI-Kishky, Dan Roth, Ming Zhang, Jiawei Han. Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015:1215-1224. [pdf]
  8. Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer Dy. Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. In Proceedings of the 2015 SIAM International Conference on Data Mining, 2015: 425-432. [pdf]
  9. Chen Luo, Wei Pang, Zhe Wang. Semi-supervised Clustering on Heterogeneous Information Networks. PAKDD 2014: 548-559. [pdf]
  10. Chuan Shi, Ran Wang, Yitong Li, Philip S. Yu, Bin Wu. Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection. CIKM 2014: 699-708. [pdf]
  11. Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Cam, Xifeng Yan, Jiawei Han. Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM 2014: 1127-1132. [pdf]
  12. Brigitte Boden, Martin Ester, Thomas Seidl. Density-Based Subspace Clustering in Heterogeneous Networks. ECML PKDD 2014: 149-164. [pdf]
  13. Yang Zhou, Ling Liu. Social Influence Based Clustering of Heterogeneous Information Networks. KDD 2013: 338-346. [pdf]
  14. Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han. On Detecting Association-Based Clique Outliers in Heterogeneous Information Networks. ASONAM 2013: 108-115. [pdf]
  15. Qian Wang, Zhaohui Peng, Fei Jiang, Qingzhong Li. LSA-PTM: A Propagation-Based Topic Model Using Latent Semantic Analysis on Heterogeneous Information Networks. WAIM 2013: 13-24. [pdf]
  16. Juan David Cruz, C. Bothorel, F. Poulet. Integrating heterogeneous information within a social network for detecting communities. The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013: 1453-1454. [pdf]
  17. Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu. Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network. PAKDD 2013: 583-594. [pdf]
  18. Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han. Constructing Topical Hierarchies in Heterogeneous Information Networks. Knowledge and information Systems 2015: 529-558. [pdf]
  19. Manish Gupta, Jing Gao, Jiawei Han. Community Distribution Outlier Detection in Heterogeneous Information Networks. ECML PKDD 2013: 557-573. [pdf]
  20. Yizhou Sun, Charu C. Aggarwal, Jiawei Han. Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. VLDB Endowment 2012: 394-405. [pdf]
  21. Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu. PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. TKDD 2012. [pdf]
  22. Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. On Clustering Heterogeneous Social Media Objects with Outlier Links. WSDM 2012: 553-562. [pdf]
  23. Charu C. Aggarwal, Yan Xie, Philip S. Yu. Towards Community Detection in Locally Heterogeneous Networks. In Proceedings of the 2011 SIAM International Conference on Data Mining, 2011: 391-402. [pdf]
  24. Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin. Probabilistic Topic Models with Biased Propagation on Heterogeneous Information Networks. KDD 2011: 1271-1279. [pdf]
  25. Hongbo Deng, Bo Zhao, Jiawei Han. Collective Topic Modeling for Heterogeneous Networks. SIGIR 2011: 1109-1110. [pdf]
  26. Faris Alqadah, Raj Bhatnagar. A Game Theoretic Framework for Heterogeneous Information Network Clustering. KDD 2011: 795-804. [pdf]
  27. Yizhou Sun, Yintao Yu, Jiawei Han. Ranking-Based Clustering of Heterogeneous Information Networks with Star Network Schema. KDD 2009: 797-806. [pdf]
  28. Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu. RankClus: Integrating Clustering with Ranking for Heterogeneous Information Network Analysis. EDBT 2009: 565-576. [pdf]

Embedding

  1. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM 2018. [pdf]
  2. Chen T, Sun Y. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017: 295-304. [pdf]
  3. Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu. Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks. WSDM 2017. [pdf]
  4. Dadkhahi H, Marlin B M. Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017: 1773-1781. [pdf]
  5. Daniel R. Figueiredo, Leonardo F. R. Ribeiro, Pedro H. P. Saverse. Stru2vec: Learning Node Representations from Structural Identity. KDD 2017: 385-394. [pdf]
  6. YuXiao Dong, Nitesh V. Chawla, Ananthram Swami. Metapath2vec: Scalable Representation Learning for Heterogeneous Networks. KDD 2017. [pdf]
  7. Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng. Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. KDD 2017. [pdf]
  8. Sebastian Y, Siew E G, Orimaye S O. Learning the heterogeneous bibliographic information network for literature-based discovery. Knowledge-Based Systems, 2017, 115: 66-79. [pdf]
  9. William L. Hamilton, Rex Ying, Jure Leskovec. Inductive Representation Learning on Large Graphs. NIPS 2017. [pdf]
  10. Xu J, Chen K, Qiu X, et al. Knowledge Graph Representation with Jointly Structural and Textual Encoding. IJCAI 2017. [pdf]
  11. Luo Y, Wen Y, Liu T, et al. General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. IJCAI 2017. [pdf]
  12. Yang C, Sun M, Liu Z, et al. Fast network embedding enhancement via high order proximity approximation. IJCAI 2017: 19-25. [pdf]
  13. Liu L, Li X, Cheung W K, et al. A Structural Representation Learning for Multi-relational Networks. IJCAI 2017. [pdf]
  14. He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun. Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. IJCAI 2017. [pdf]
  15. Sendong Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai. ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. IJCAI 2017. [pdf]
  16. Zhipeng Huang, Nikos Mamoulis. Heterogeneous Information Network Embedding for Meta Path based Proximity. arXiv:1701.0529. [pdf]
  17. Palash Goyal, Emilio Ferrara. Graph Embedding Techniques, Applications, and Performance: A Survey. arXiv:1705.02801. [pdf]
  18. Chen Y, Wang C. HINE: Heterogeneous Information Network Embedding. International Conference on Database Systems for Advanced Applications Springer, Cham, 2017: 180-195. [pdf]
  19. Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft. Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. CIKM 2017. [pdf]
  20. Tao-yang Fu, Wang-Chien Lee, Zhen Lei. HIN2vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. CIKM 2017. [pdf]
  21. Zhangjie Cao, Mingsheng Long, Qiang Yang. Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI 2017. [pdf]
  22. Nausheen Fatma, Manoj K. Chinnakotla, Manish Shrivastava. The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. AAAI 2017. [pdf]
  23. Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI 2017. [pdf]
  24. Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis. Matching Node Embeddings for Graph Similarity. AAAI 2017. [pdf]
  25. Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu. A Survey on Network Embedding. arXiv:1711.08752. [pdf]
  26. Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang. A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications. arXiv:1709.07604. [pdf]
  27. Aditya Grover, Jure Leskovec. Node2vec: Scalable Feature Learning for Networks. KDD 2016: 855-864. [pdf]
  28. Gui H, Liu J, Tao F, et al. Large-scale embedding learning in heterogeneous event dataData Mining (ICDM)., 2016 IEEE 16th International Conference, 2016: 907-912. [pdf]
  29. Daixin Wang, Peng Cui, Wenwu Zhu. Structural Deep Network Embedding. KDD 2016: 1225-1234. [pdf]
  30. Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang. Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI 2016. [pdf]
  31. Yang P, He J. Heterogeneous Representation Learning with Structured Sparsity RegularizationData Mining . ICDM 2016: 539-548. [pdf]
  32. Hu Q, Xie S, Lin S, et al. Clustering Embedded Approaches for Efficient Information Network Inference. Data Science and Engineering, 2016, 1(1): 29-40. [pdf]
  33. Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki. Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. AAAI 2016. [pdf]
  34. Jian Tang, Meng Qu, Qiaozhu Mei. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015: 1165-1174. [pdf]
  35. Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang. Network Representation Learning with Rich Text Information. IJCAI 2015. [pdf]
  36. Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Learning Latent Representations of Nodes for Classifying in Heterogeneous Social Networks. WSDM 2014: 373-382. [pdf]
  37. Bryan Perozzi, Rami AI-Rfou, Steven Skiena. DeepWalk: Online Learning of Social Representations. SIGKDD 2014: 701-710. [pdf]

Information Fusion

  1. Wei H, Zhang F, Yuan N J, et al. Beyond the Words: Predicting User Personality from Heterogeneous Information. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017: 305-314. [pdf]
  2. Jie Tang, Tiancheng Lou, Jon Kleinberg, Sen Wu. Transfer Learning to Infer Social Ties across Heterogeneous Networks. TOIS 2016. [pdf]
  3. Jiawei Zhang, Philip S. Yu. PCT: Partial Co-Alignment of Social Networks. WWW 2016: 749-759. [pdf]
  4. Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu. Item Recommendation for Emerging Online Businesses. IJCAI 2016: 3797-3803. [pdf]
  5. Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan. Information Diffusion at Wokplace. CIKM 2016. [pdf]
  6. Luo Y, Wen Y, Tao D. On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning. IJCAI 2016: 1809-1815. [pdf]
  7. Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery. Junyuan Xie. Discover Tipping Users For Cross Network Influencing. IEEE IRI 2016. [pdf]
  8. Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu. Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. IEEE IRI 2015: 166-173. [pdf]
  9. Jiawei Zhang, Philip S. Yu. Multiple Anonymized Social Networks Alignment. ICDM 2015: 599-608. [pdf]
  10. Jiawei Zhang, Philip S. Yu. Integrated Anchor and Social Link Predictions across Social Networks. JICAI 2015: 2125-2131. [pdf]
  11. Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie. Influence Maximization across Partially Aligned Heterogeneous Social Networks. PAKDD 2015:58-69. [pdf]
  12. Jiawei Zhang, Philip S. Yu. Community Detection for Emerging Networks. SIAM 2015: 127-135. [pdf]
  13. Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li. Synergistic Partitioning in Multiple Large Scale Social Networks. Big Data 2015: 281-290. [pdf]
  14. Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou. Meta-path based Multi-Network Collective Link Prediction. KDD 2014: 1286-1295. [pdf]
  15. Danai Koutra, Hanghang Tong, David Lubensky. BIG-ALIGN: Fast Bipartite Graph Alignment. ICDM 2013: 389-398. [pdf]

Link Prediction

  1. Charu C. Aggarwal, Yan Xie, Philip S. Yu. A framework for dynamic link prediction in heterogeneous networks. Statistical Analysis and Data Mining 2014: 14-33. [pdf]
  2. Jingpeng Chen, Hongbo Gao, Zhenyu Wu, Deyi Li. Tag Co-occurrence Relationship Prediction in Heterogeneous Information Networks. ICPADS 2013: 528-533. [pdf]
  3. Jia J, Wang B, Zhang L, et al. AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. International World Wide Web Conferences Steering Committee, 2017: 1561-1569. [pdf]
  4. Xiaohuan Cao,Yuyan Zheng, Chuan Shi,Jingzhi Li,Bin Wu. Meta-path-based link prediction in schema-rich heterogeneous information network. IJDSA 2017. [pdf]
  5. Zhang J, Chen J, Zhu J, et al. Link prediction with cardinality constraint. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017: 121-130. [pdf]
  6. Zhang J, Chen J, Zhi S, et al. Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982. [pdf]
  7. Jie Tang, Tiancheng Lou, Jon Kleinberg, Sen Wu. Transfer Learning to Infer Social Ties across Heterogeneous Networks. TOIS 2016. [pdf]
  8. Xiaohuan Cao,Yuyan Zheng, Chuan Shi,Jingzhi Li,Bin Wu. Link Prediction in Schema-Rich Heterogeneous Information Network. PAKDD 2016. [pdf]
  9. Zeng X, Li Y, Leung S C H, et al. Investment behavior prediction in heterogeneous information network. Neurocomputing, 2016, 217: 125-132. [pdf]
  10. Fu G, Ding Y, Seal A, et al. Predicting drug target interactions using meta-path-based semantic network analysis. BMC bioinformatics, 2016, 17(1): 160. [pdf]
  11. Zeng J, Zhou K, Ma X, et al. Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016: 1905-1908. [pdf]
  12. Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu. Predicting Neighbor Distribution in Heterogeneous Information Networks. SIAM 2015: 784-791. [pdf]
  13. Jiawei Han, Philip S. Yu, Yuanhua Lv. Organizational Chart Inference. KDD 2015: 1435-1444. [pdf]
  14. Fangbing Liu, Shu-Tao Xia. Link Prediction in Aligned Heterogeneous Networks. PAKDD 2015: 33-44. [pdf]
  15. Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu. COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD 2015: 1485-1494. [pdf]
  16. Jiawei Zhang, Xiangnan Kong, Philip S. Yu. Transferring Heterogeneous Links across Location-Based Social Networks. WSDM 2014: 303-312. [pdf]
  17. Bokai Cao, Xiangnan Kong, Philip S. Yu. Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. ICDM 2014:50-59. [pdf]
  18. Jiawei Zhang, Xiangnan Kong, Philip S. Yu. Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. ICDM 2013: 1289-1294. [pdf]
  19. Xiangnan Kong, Jiawei Zhang, Philip S. Yu. Inferring Anchor Links across Multiple Heterogeneous Social Networks. CIKM 2013: 179-188. [pdf]
  20. Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla. When Will It Happen? –Relationship Prediction in Heterogeneous Information Networks. WSDM 2012: 663-672. [pdf]
  21. Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu. Trust Prediction via Aggregating Heterogeneous Social Networks. CIKM 2012: 1774-1778. [pdf]
  22. Yang Yang, Nitesh Chawla, Yizhou Sun, Jiawei Han. Predicting Links in Multi-Relational and Heterogeneous Networks. ICDM 2012: 755-764. [pdf]
  23. Charu Aggarwal, Yan Xie, Philip S. Yu. On Dynamic Link Inference in Heterogeneous Networks. SIAM 2012: 415-426. [pdf]
  24. Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang. Mining Competitive Relationships by Learning across Heterogeneous Networks. CIKM 2012: 1432-1441. [pdf]
  25. Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, Huanhuan Cao. Link Prediction and Recommendation across Heterogeneous Social Networks. ICDM 2012: 181-190. [pdf]
  26. Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han. Citation Prediction in Heterogeneous Bibliographic Networks. SIAM 2012: 1119-1130. [pdf]
  27. Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han. Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128. [pdf]
  28. Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Yi. Characterizing and Predicting Community Members from Evolutionary and Heterogeneous Networks. CIKM 2008: 309-318. [pdf]

Ranking

  1. Chuan Shi, Yitong Li, Philip S. Yu, Bin Wu. Constrained-meta-path-based ranking in heterogeneous information network. Knowledge and Information Systems 2016: 719-747. [pdf]
  2. Freeman D M. Can You Spot the Fakes?: On the Limitations of User Feedback in Online Social Networks. International World Wide Web Conferences Steering Committee, 2017: 1093-1102. [pdf]
  3. Wang S, Yang R, Xiao X, et al. FORA: Simple and Effective Approximate Single-Source Personalized PageRank. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017: 505-514. [pdf]
  4. Mazumder S, Liu B. Context-aware Path Ranking for Knowledge Base Completion. IJCAI 2017. [pdf]
  5. Liang J, Ajwani D, Nicholson P K, et al. What links alice and bob?: Matching and ranking semantic patterns in heterogeneous networks. International World Wide Web Conferences Steering Committee, 2016: 879-889. [pdf]
  6. Vang V.Le, Hien T. Nguyen, Vaclav Snasel, Tran Trong Dao. Identify Influential Spreaders in Online Social Networks Based on Social Meta Path and PageRank. CSoNet 2016: 51-61. [pdf]
  7. Ronghua Liang, Xiaorui Jiang. Scientific Ranking over Heterogeneous Academic Hypernetwork. AAAI 2016. [pdf]
  8. Min-Hsuan Tsai, Charu Aggarwal, Thomas Huang. Ranking in Heterogeneous Social Media. WSDM 2014: 613-622. [pdf]
  9. Jingyuan Zhang, Xiangnan Kong, Luo Jie, Yi Chang, Philip S. Yu. NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites. CIKM 2014: 709-718. [pdf]
  10. Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun. Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. CIKM 2014: 121-130. [pdf]
  11. Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen. HRank: A Path Based Ranking Method in Heterogeneous Information Network. WAIM 2014: 553-565. [pdf]
  12. Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu. Future Influence Ranking of Scientific Literature. SIAM 2014: 749-757. [pdf]
  13. Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang. Query-dependent cross-domain ranking in heterogeneous network. Knowledge and Information Systems 2013: 109-145. [pdf]
  14. Laure Soulier, Lamjed Ben Jabeur, Lynda Tamine, Wahiba Bahiba Bahsoun. On Ranking Relevant Entities in Heterogeneous Networks Using a Language-Based Model. ASIS&T 2013: 500-515. [pdf]
  15. Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Heiu Le, Tarek Abdelzaher, Jiawei Han, Alice Leung, John Hancock, Clare Voss. Tweet Ranking Based on Heterogeneous Networks. ICCL 2012: 1239-1256. [pdf]
  16. Xutao Li, Michael K. Ng, Yunming Ye. HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. SIAM 2012: 141-152. [pdf]
  17. Michael K. Ng, Xutao Li, Yunming Ye. MultiRank: Co-Ranking for Objects and Relations in Multi-Relational Data. KDD 2011: 1217-1225. [pdf]
  18. Hongbo Deng, Michael R. Lyu, Irwin King. A Generalized Co-HITS Algorithm and Its Application to Bipartite Graphs. KDD 2009: 239-248. [pdf]
  19. Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles. Co-Ranking Authors and Documents in a Heterogeneous Network. ICDM 2007: 739-744. [pdf]

Recommendation

  1. Wang X, Hoi S C H, Ester M, et al. Learning personalized preference of strong and weak ties for social recommendation. International World Wide Web Conferences Steering Committee, 2017: 1601-1610. [pdf]
  2. Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu. Recommendation in heterogeneous information network via dual similarity regularization. International Journal of Data Science and Analytics. [pdf]
  3. Zhao H, Yao Q, Li J, et al. Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM, 2017: 635-644. [pdf]
  4. Yu F, Li Z, Jiang S, et al. Personalized POI Groups Recommendation in Location-Based Social Networks. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data Springer, Cham, 2017: 114-123. [pdf]
  5. Guo C. Feature Generation and Selection on the Heterogeneous Graph for Music Recommendation. Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016: 715-715. [pdf]
  6. Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu. Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. Knowledge and Information Systems 2016: 835-859. [pdf]
  7. Zhao F, Guo Y. Improving Top-N Recommendation with Heterogeneous Loss. IJCAI 2016: 2378-2384. [pdf]
  8. Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu. Dual Similarity Regularization for Recommendation. PAKDD 2016: 542-554. [pdf]
  9. Jian Wu, Liang Chen, Qi Yu, Panpan Han, Zhaohui Wu. Trust-aware media recommendation in heterogeneous social networks. WWW 2015: 139-157. [pdf]
  10. Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu. Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM 2015: 453-462. [pdf]
  11. Chen Yang, Jianshan Sun, Jian Ma, Shanshan Zhang, Gang Wang, Zhongsheng Hua. Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks. HICSS 2015: 552-561. [pdf]
  12. Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han. Personalized Entity Recommendation: A Heterogeneous Information Network Approach. WSDM 2014: 283-292. [pdf]
  13. Robin Burke, Fatemeh Vahedian, Bamshad Mobasher. Hybrid Recommendation in Heterogeneous Networks. UMAP 2014: 49-60. [pdf]
  14. Chen Luo, Wei Pang, Zhe Wang. Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations. ICDM 2014. [pdf]
  15. Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandewal, Quanquan Gu, Lidan Wang, Jiawei Han. ClusCite: Effective Citation Recommendation by Information Network-Based Clustering. KDD 2014: 821-830. [pdf]
  16. Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han. Recommendation in Heterogeneous Information Networks with Implicit User Feedback. RecSys 2013: 347-350. [pdf]
  17. Mohsen Jamali, Laks V.S. Lakshmanan. HeteroMF: Recommendation in Heterogeneous Information Networks using Context Dependent Factor Models. WWW 2013: 643-654. [pdf]
  18. Chuan Shi, Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang. HeteRecom: A Semantic-based Recommendation System in Heterogeneous Networks. KDD 2012: 1552-1555. [pdf]

Similarity Measure

  1. Yun Xiong, Yanyong Zhu, Philip S. Yu. Top-k Similarity Join in Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering, 27(6), 1710-1723. [pdf]
  2. Patil V, Vasappanavara R, Ghorpade T. Comparative analysis of similarity measures in Heterogeneous Information Network. ISCO 2017: 297-301. [pdf]
  3. Xiao Y, Zhang J, Deng L. Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks. Scientific Reports, 2017, 7(1): 3664. [pdf]
  4. Zhang J, Tang J, Ma C, et al. Fast and flexible top-k similarity search on large networks. ACM Transactions on Information Systems (TOIS), 2017, 36(2): 13. [pdf]
  5. Shi Y, Chan P W, Zhuang H, et al. PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD 2017. [pdf]
  6. Wang C, Song Y, Li H, et al. Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. CIKM 2017. [pdf]
  7. Zhu T, Peng Z, Wang X, et al. Measuring the Similarity of Nodes in Signed Social Networks with Positive and Negative Links. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data Springer, Cham, 2017: 399-407. [pdf]
  8. Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang. RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. In Proceedings of the 2016 SIAM International Conference on Data Mining, 2016: 621-629. [pdf]
  9. Huang Z, Zheng Y, Cheng R, et al. Meta structure: Computing relevance in large heterogeneous information networks. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016: 1595-1604. [pdf]
  10. Zhang K, Zhu K Q, Hwang S. An Association Network for Computing Semantic Relatedness. AAAI 2015: 593-600. [pdf]
  11. Mingxi Zhang, Hao Hu, Zhenying He, Wei Wang. Top-k similarity search in heterogeneous information networks with x-star networks schema. Expert Systems with Applications, vol. 42, no. 2, pp. 699-712, 201. [pdf]
  12. Min Zhu, Tianchen Zhu, Zhaohui Peng, Guang Yang, Yang Xu, Senzhang Wang, Xiangwei Wang, Xiaoguang Hong. Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorization. WAIM 2015: 181-192. [pdf]
  13. Xiaofeng Meng, Chuan Shi, Yitong Li, Lei Zhang, Bin Wu. Relevance Measure in Large-Scale Heterogeneous Networks. APWeb 2014: 636-643. [pdf]
  14. Leong Hou U., Kun Yao, Hoi Fong Mak. PathSimExt: Revisiting PathSim in Heterogeneous Information Networks. WAIM 2014: 38-42. [pdf]
  15. Shaoli Bu, Xiaoguang Hong, Zhaohui Peng, Qingzhong Li. Integrating Meta-Path Selection with User-Preference for Top-k Relevant Search in Heterogeneous Information Networks. In Proceedings of the 2014 IEEE 18th International Conference on Computer Cooperative Work in Design, 2014: 301-306. [pdf]
  16. Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu. HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 10, pp. 2476-2492, 2014. [pdf]
  17. Jiazhen He, James Bailey, and Rui Zhang. Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. DASFAA 2014: 141-155. [pdf]
  18. Congcong Li, Jing Sun, Yun Xiong, Guangyong Zheng. An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks. PAKDD 2014: 65-76. [pdf]
  19. Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, Jiawei Han. User Guided Entity Similarity Search Using Meta-Path Selection in Heterogeneous Information Networks. CIKM 2012: 2025-2029. [pdf]
  20. Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu. Relevance Search in Heterogeneous Networks. VLDB Endowment 2011: 992-1003. [pdf]
  21. Guan Wang, Qingbo Hu, Philip S. Yu. Influence and Similarity on Heterogeneous Networks. CIKM 2012: 1462-1466. [pdf]
  22. Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu. PathSim: Meta Path-Based Top-k Similarity Search in Heterogeneous Information Networks. VLDB Endowment, vol.4 pp. 992-1003, 201. [pdf]
  23. Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg Badros. Learning Relevance from Heterogeneous Social Network and Its Application in Online Targeting. SIGIR 2011: 655-664. [pdf]
  24. Ni Lao, William W. Cohen. Relational retrieval using a combination of path-constrained random walks. Machine Learning, vol 81, no.2, pp.53-67, 2010. [pdf]
  25. Ni Lao, Willian W. Cohen. Fast Query Execution for Retrieval Models Based on Path-Constrained Random Walks. KDD 2010: 881-888. [pdf]

Transfer Learning

  1. Jing Zheng, Fuzhen Zhuang, Chuan Shi. Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017. [pdf]
  2. Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang. Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI 2016. [pdf]

Others

  1. Stück D, Hallgrímsson H T, Ver Steeg G, et al. The Spread of Physical Activity Through Social Networks. International World Wide Web Conferences Steering Committee, 2017: 519-528. [pdf]
  2. Wagner C, Singer P, Karimi F, et al. Sampling from Social Networks with Attributes. International World Wide Web Conferences Steering Committee, 2017: 1181-1190. [pdf]
  3. Lee R K W, Hoang T A, Lim E P. On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites. International World Wide Web Conferences Steering Committee, 2017: 1351-1359. [pdf]
  4. Lukovnikov D, Fischer A, Lehmann J, et al. Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. International World Wide Web Conferences Steering Committee, 2017: 1211-1220. [pdf]
  5. Hoang M X, Dang X H, Wu X, et al. GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks. International World Wide Web Conferences Steering Committee, 2017: 725-733. [pdf]
  6. Su J, Shukla A, Goel S, et al. De-anonymizing web browsing data with social networks. International World Wide Web Conferences Steering Committee, 2017: 1261-1269. [pdf]
  7. Lian J, Zhang F, Xie X, et al. Restaurant Survival Analysis with Heterogeneous Information. International World Wide Web Conferences Steering Committee, 2017: 993-1002. [pdf]
  8. Li X, Liu Y, Cai R, et al. Investigation of User Search Behavior While Facing Heterogeneous Search Services. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM, 2017: 161-170. [pdf]
  9. Cheng K, Li J, Liu H. Unsupervised feature selection in signed social networks. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM, 2017: 777-786. [pdf]
  10. Hou S, Ye Y, Song Y, et al. HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. KDD 2017. [pdf]
  11. Qu M, Ren X, Han J. Automatic Synonym Discovery with Knowledge Bases. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017: 997-1005. [pdf]
  12. Kumar S, Jain R, Rajawat K. Asynchronous optimization over heterogeneous networks via consensus admm. IEEE Transactions on Signal and Information Processing over Networks, 2017, 3(1): 114-129. [pdf]
  13. Li K, Cao Z, Qu D. Fair Reviewer Assignment Considering Academic Social Network. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data Springer, Cham, 2017: 362-376. [pdf]
  14. Wang Y, Zhong M, Zhu Y, et al. Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data Springer, Cham, 2017: 541-555. [pdf]
  15. Ren X, Shen J, Qu M, et al. Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. Proceedings of ACL 2017, System Demonstrations, 2017: 55-60. [pdf]
  16. Zhang C, Fan W, Du N, et al. Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach. International World Wide Web Conferences Steering Committee, 2016: 1373-1384. [pdf]
  17. Shi B, Weninger T. Fact checking in heterogeneous information networks. International World Wide Web Conferences Steering Committee, 2016: 101-102. [pdf]
  18. Vahedian F, Burke R D, Mobasher B. Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. RecSys Posters 2016. [pdf]
  19. Zhang Y, Xiong Y, Kong X, et al. NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. KDD 2016: 1365-1374. [pdf]
  20. Gu Y, Chen T, Sun Y, et al. Ideology Detection for Twitter Users with Heterogeneous Types of Links. arXiv preprint arXiv:1612.08207, 2016. [pdf]
  21. Godoy J, Karamouzas I, Guy S J, et al. Moving in a Crowd: Safe and Efficient Navigation among Heterogeneous Agents. IJCAI 2016: 294-300. [pdf]
  22. Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu. HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW 2016: 41-50. [pdf]
  23. Papadakis G, Papastefanatos G, Palpanas T, et al. Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking. EDBT 2016: 221-232. [pdf]
  24. Amar Viswanathan. Pragmatic Querying in Heterogeneous Knowledge Graphs. AAAI 2016. [pdf]
  25. Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang. Community-Based Question Answering via Heterogeneous Social Network Learning. AAAI 2016. [pdf]
  26. Tom Williams, Matthias Scheutz. A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases. AAAI 2016. [pdf]
  27. Shi L, Tong H, Tang J, et al. Vegas: Visual influence graph summarization on citation networks. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(12): 3417-3431. [pdf]
  28. Zhang J, Fang Z, Chen W, et al. Diffusion of “following” links in microblogging networks. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(8): 2093-2106. [pdf]
  29. Jian Tang, Meng Qu, Qiaozhu Mei. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015: 1165-1174. [pdf]
  30. Zhang S, Xia F, Zhang J, et al. Collaboration Prediction in Heterogeneous Information Networks.DSFAA 2015: 203-208. [pdf]
  31. Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang. Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606. [pdf]
  32. Lu Liu, Jie Tang, Jiawei Han, Shiqiang Yang. Learning influence from heterogeneous social networks. Data Mining and Knowledge Discovery 2012: 511-544. [pdf]