# Representation-Learning-on-Heterogeneous-Graph **Repository Path**: milo7hao/Representation-Learning-on-Heterogeneous-Graph ## Basic Information - **Project Name**: Representation-Learning-on-Heterogeneous-Graph - **Description**: Representation-Learning-on-Heterogeneous-Graph - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2020-09-06 - **Last Updated**: 2021-08-05 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README --- 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](https://arxiv.org/abs/1905.01669) 3. Xiao Wang, Yiding Zhang, Chuan Shi. **Hyperbolic Heterogeneous Information Network Embedding.** AAAI 2019. [paper](http://shichuan.org/doc/65.pdf) 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](https://arxiv.org/abs/1902.01475 ) 5. Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu. **Relation Structure-Aware Heterogeneous Information Network Embedding.** AAAI 2019. [paper](http://shichuan.org/doc/63.pdf) 6. Houye Ji, Chuan Shi. **Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding.** PRICAI 2018. [paper](http://shichuan.org/doc/55.pdf) 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](http://net.pku.edu.cn/daim/hongzhi.yin/papers/KDD18-Hongxu.pdf) 8. Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han. **Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks**. KDD 2018. [paper](https://arxiv.org/abs/1807.03490) 9. Yu Shi, Huan Gui, Qi Zhu, Lance Kaplan, Jiawei Han. **ASPEM：Embedding Learning by Aspects in Heterogeneous Information Networks.** SDM 2018 [paper](http://yushi2.web.engr.illinois.edu/sdm18.pdf) 10. Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu. **Structural Deep Embedding for Hyper-Networks** AAAI 2018. [paper](https://arxiv.org/abs/1711.10146) 11. Rana Hussein, Dingqi Yang, Philippe Cudré-Mauroux. **Are Meta-Paths Necessary? Revisiting Heterogeneous Graph Embeddings.** CIKM 2018. [paper](https://dl.acm.org/citation.cfm?id=3271777) 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](https://arxiv.org/pdf/1712.00732) 13. Meng Qu, Jian Tang, Jiawei Han. **Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning.** WSDM 2018.[paper](http://hanj.cs.illinois.edu/pdf/wsdm18_mqu.pdf) 14. Tao-yang Fu, Wang-Chien Lee, Zhen Lei. **HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning** CIKM 2017 [paper](http://shichuan.org/hin/topic/Embedding/2017.%20CIKM%20HIN2Vec.pdf) 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](https://link.springer.com/chapter/10.1007/978-3-319-46227-1_38 ) 19. Jian Tang, Meng Qu, Qiaozhu Mei. **PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks.** KDD 2015. [paper](http://dl.acm.org/citation.cfm?id=2783307) 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](https://dl.acm.org/citation.cfm?doid=2783258.2783296 ) 21. Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. **MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding** PAKDD 2018. [paper](https://arxiv.org/pdf/1803.02533.pdf) # 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](https://dl.acm.org/citation.cfm?id=3330673) 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](https://arxiv.org/abs/1906.04580) 9. Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye.**Heterogeneous Graph Attention Network.** WWW 2019. [paper](https://github.com/Jhy1993/HAN) 10. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu. **Deep Collective Classification in Heterogeneous Information Networks.** WWW 2018. [paper](https://dl.acm.org/citation.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](https://dl.acm.org/citation.cfm?id=3272010) 12. Marinka Zitnik, Monica Agrawal, Jure Leskovec. **Modeling polypharmacy side effects with graph convolutional networks** ISMB 2018 [paper](https://arxiv.org/abs/1802.00543 ) # 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](http://shichuan.org/doc/72.pdf) 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](http://shichuan.org/doc/73.pdf) 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](http://shichuan.org/doc/75.pdf) 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.** WWW 2019 [paper](http://shichuan.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](http://shichuan.org/doc/64.pdf) 13. Shaohua Fan, Chuan Shi, Xiao Wang. **Abnormal Event Detection via Heterogeneous Information Network Embedding.** CIKM 2018. [paper](http://shichuan.org/doc/62.pdf) 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](https://ink.library.smu.edu.sg/sis_research/4217/ ) 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](http://shichuan.org/doc/48.pdf) 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](http://shichuan.org/doc/47.pdf) 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](http://shichuan.org/doc/61.pdf) 20. Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song. **Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.** IJCAI 2018. [paper](http://shichuan.org/doc/46.pdf) 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](https://arxiv.org/pdf/1612.02814.pdf)