Error in user YAML: (<unknown>): found character that cannot start any token while scanning for the next token at line 4 column 1

---
title: Representation Learning on Heterogeneous Graph

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

---

Representation Learning on Heterogeneous Graph

Contributed by Houye Ji.

Heterogeneous Graph Embedding

1. Xiao Wang, Yiding Zhang, Chuan Shi. Hyperbolic Heterogeneous Information Network Embedding. AAAI 2019. paper
2. Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang. HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. ArXiv 2019. paper
3. Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu. Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI 2019. paper
4. Houye Ji, Chuan Shi. Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding. PRICAI 2018. paper
5. 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
6. Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han. Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD 2018.
7. Yu Shi, Huan Gui, Qi Zhu, Lance Kaplan, Jiawei Han. ASPEM：Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018 paper
8. Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu. Structural Deep Embedding for Hyper-Networks AAAI 2018. paper
9. Rana Hussein, Dingqi Yang, Philippe Cudré-Mauroux. Are Meta-Paths Necessary? Revisiting Heterogeneous Graph Embeddings. CIKM 2018.
10. Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu. Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. WSDM 2018
11. Meng Qu, Jian Tang, Jiawei Han. Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM 2018.
12. Tao-yang Fu, Wang-Chien Lee, Zhen Lei. HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning CIKM 2017
13. Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami. metapath2vec: Scalable Representation Learning for Heterogeneous Networks KDD 2017
14. 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.
15. Linchuan Xu, Xiaokai Wei, Jianong Cao, Philip S. Yu. Embedding of Embedding Joint Embedding for Coupled Heterogeneous Networks. WSDM 2017.
16. Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Multilabel classification on heterogeneous graphs with gaussian embeddings. ECML 2016. paper
17. Jian Tang, Meng Qu, Qiaozhu Mei. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015. paper
18. Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. Heterogeneous Network Embedding via Deep Architectures KDD 2015 paper
19. 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. Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye.Heterogeneous Graph Attention Network. WWW 2019. paper
2. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu. Deep Collective Classification in Heterogeneous Information Networks. WWW 2018.
3. Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song. Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018.
4. Marinka Zitnik, Monica Agrawal, Jure Leskovec. Modeling polypharmacy side effects with graph convolutional networks ISMB 2018 paper

Heterogeneous Graph Embedding based Application

1. 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
2. Shaohua Fan, Chuan Shi, Xiao Wang. Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM 2018. paper
3. Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System. KDD 2018.
4. 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
5. 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
6. 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
7. 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
8. 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
9. Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song. Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI 2018. paper
10. 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.
11. 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
12. Ting Chen, Yizhou Sun. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification WSDM 2017. paper