title: Representation Learning on Heterogeneous Graph

categories: - Paper tags: - Deep Learning - Graph Neural Network - Heterogeneous Graph - Representation Learning

Representation Learning on Heterogeneous Graph including Heterogeneous Graph Embedding, Heterogeneous Graph Neural Network and Applications.

Contributed by Houye Ji.

Tutorials for Heterogeneous Graph

CIKM 2019 Recent Developments of Deep HIN Analysis

Heterogeneous Graph Embedding

1. Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng. HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding CIKM 2019
2. Yukuo Cen, Xu Zou, Jianwei Zhang , Hongxia Yang, Jingren Zhou, Jie Tang. Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019. paper
3. Xiao Wang, Yiding Zhang, Chuan Shi. Hyperbolic Heterogeneous Information Network Embedding. AAAI 2019. paper
4. Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang. HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. ArXiv 2019. paper
5. Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu. Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI 2019. paper
6. Houye Ji, Chuan Shi. Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding. PRICAI 2018. paper
7. Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li. PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. KDD 2018 paper
8. Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han. Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD 2018. paper
9. Yu Shi, Huan Gui, Qi Zhu, Lance Kaplan, Jiawei Han. ASPEM：Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018 paper
10. Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu. Structural Deep Embedding for Hyper-Networks AAAI 2018. paper
11. Rana Hussein, Dingqi Yang, Philippe Cudré-Mauroux. Are Meta-Paths Necessary? Revisiting Heterogeneous Graph Embeddings. CIKM 2018. paper
12. Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu. Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. WSDM 2018 paper
13. Meng Qu, Jian Tang, Jiawei Han. Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM 2018.paper
14. Tao-yang Fu, Wang-Chien Lee, Zhen Lei. HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning CIKM 2017 paper
15. Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami. metapath2vec: Scalable Representation Learning for Heterogeneous Networks KDD 2017
16. Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance Kaplan, and Jiawei Han. Embedding Learning with Events in Heterogeneous Information Networks. TKDE 2017.
17. Linchuan Xu, Xiaokai Wei, Jianong Cao, Philip S. Yu. Embedding of Embedding Joint Embedding for Coupled Heterogeneous Networks. WSDM 2017.
18. Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Multilabel classification on heterogeneous graphs with gaussian embeddings. ECML 2016. paper
19. Jian Tang, Meng Qu, Qiaozhu Mei. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015. paper
20. Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. Heterogeneous Network Embedding via Deep Architectures KDD 2015 paper
21. Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding PAKDD 2018. paper

Heterogeneous Graph Neural Network

1. Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun. Heterogeneous Graph Transformer. WWW 2020

2. Yuxiang Ren and Bo Liu and Chao Huang and Peng Dai and Liefeng Bo and Jiawei Zhang. Heterogeneous Deep Graph Infomax. AAAI 2020

3. Xingyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King. Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. WWW2020

4. Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim. Graph Transformer Networks. NIPS 2019

5. Yuxin Xiao, Zecheng

   Zhang, Carl Yang, and Chengxiang Zhai. Non-local Attention Learning on Large Heterogeneous Information Networks IEEE Big Data 2019.

6. Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD 2019. paper

7. Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla. Heterogeneous Graph Neural Network. KDD 2019

8. Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai and Philip S. Yu Fine-grained Event Categorization with Heterogeneous Graph Convolutional. IJCAI 2019. paper

9. Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye.Heterogeneous Graph Attention Network. https://github.com/Jhy1993/HANub.com/Jhy1993/HAN)

10. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu. Deep Collective Classification in Heterogeneous Information Networks. https://dl.acm.org/citation.cfm?id=3186106ion.cfm?id=3186106)

11. Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song. Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018. paper

12. Marinka Zitnik, Monica Agrawal, Jure Leskovec. Modeling polypharmacy side effects with graph convolutional networks ISMB 2018 paper

Application

1. Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie. Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. CIKM 2019
2. Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li. Spam Review Detection with Graph Convolutional Networks. CIKM 2019
3. Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye.Author Set Identification via Quasi-Clique Discovery. CIKM 2019 paper
4. Yongji Wu, Defu Lian, Shuowei Jin and Enhong Chen. Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019
5. Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, and Fudong Shao .Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection IJCAI 2019
6. Weijian Chen, Yulong Gu, Zhaochun Ren , Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin and Yongdong Zhang.Semi-supervised User Profiling with Heterogeneous Graph Attention Networks IJCAI 2019
7. Yanan Xu, Yanmin Zhu, Yanyan Shen and Jiadi Yu. Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation IJCAI 2019
8. Shen Wang, Zhengzhang Chen 2, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu. Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019
9. Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li.Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP 2019. paper
10. Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu.Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. TKDE 2019. paper
11. Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong.Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. http://shichuan.org/doc/69.pdfan.org/doc/69.pdf)
12. Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi. Cash-out User Detection based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019. paper
13. Shaohua Fan, Chuan Shi, Xiao Wang. Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM 2018. paper
14. Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System. KDD 2018.
15. Zemin Liu, Vicent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying. Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. KDD 2018
16. Vincent W. ZHENG, Mo SHA Yuchen LI, Hongxia YANG, Zhenjie ZHANG, Kian-Lee TAN. Heterogeneous embedding propagation for large-scale e-commerce user alignment ICDM 2018. paper
17. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu. Heterogeneous Information Network Embedding for Recommendation. IEEE Transactions on Knowledge and Data Engineering, 2018. paper
18. Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu. Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model. KDD 2018. paper
19. Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang. Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. CIKM 2018. paper
20. Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song. Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI 2018. paper
21. Zemin Liu, Vicent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. SPE_Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. WWW 2018.
22. Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI 2018
23. Ting Chen, Yizhou Sun. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification WSDM 2017. paper