Literature of Deep Learning for Graphs

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This is a paper list about deep learning for graphs.

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Node Representation Learning

Unsupervised Node Representation Learning

DeepWalk: Online Learning of Social Representations <https://arxiv.org/pdf/1403.6652>_ | :authors:Bryan Perozzi, Rami Al-Rfou, Steven Skiena | :venue:KDD 2014 | :keywords:Node classification, Random walk, Skip-gram

LINE: Large-scale Information Network Embedding <https://arxiv.org/pdf/1503.03578>_ | :authors:Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei | :venue:WWW 2015 | :keywords:First-order, Second-order, Node classification

GraRep: Learning Graph Representations with Global Structural Information <https://dl.acm.org/citation.cfm?id=2806512>_ | :authors:Shaosheng Cao, Wei Lu, Qiongkai Xu | :venue:CIKM 2015 | :keywords:High-order, SVD

node2vec: Scalable Feature Learning for Networks <https://arxiv.org/pdf/1607.00653>_ | :authors:Aditya Grover, Jure Leskovec | :venue:KDD 2016 | :keywords:Breadth-first Search, Depth-first Search, Node Classification, Link Prediction

Variational Graph Auto-Encoders <https://arxiv.org/abs/1611.07308>_ | :authors:Thomas N. Kipf, Max Welling | :venue:arXiv 2016

Scalable Graph Embedding for Asymmetric Proximity <https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14696>_ | :authors:Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao | :venue:AAAI 2017

Fast Network Embedding Enhancement via High Order Proximity Approximation <https://www.ijcai.org/proceedings/2017/544>_ | :authors:Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu | :venue:IJCAI 2017

struc2vec: Learning Node Representations from Structural Identity <https://arxiv.org/pdf/1704.03165>_ | :authors:Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo | :venue:KDD 2017 | :keywords:Structural Identity

Poincaré Embeddings for Learning Hierarchical Representations <https://arxiv.org/pdf/1705.08039>_ | :authors:Maximilian Nickel, Douwe Kiela | :venue:NIPS 2017

VERSE: Versatile Graph Embeddings from Similarity Measures <https://arxiv.org/pdf/1803.04742>_ | :authors:Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller | :venue:WWW 2018

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec <https://arxiv.org/pdf/1710.02971>_ | :authors:Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang | :venue:WSDM 2018

Learning Structural Node Embeddings via Diffusion Wavelets <https://arxiv.org/pdf/1710.10321>_ | :authors:Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec | :venue:KDD 2018

Adversarial Network Embedding <https://arxiv.org/pdf/1711.07838>_ | :authors:Quanyu Dai, Qiang Li, Jian Tang, Dan Wang | :venue:AAAI 2018

GraphGAN: Graph Representation Learning with Generative Adversarial Nets <https://arxiv.org/pdf/1711.08267>_ | :authors:Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo | :venue:AAAI 2018

A General View for Network Embedding as Matrix Factorization <https://dl.acm.org/citation.cfm?id=3291029>_ | :authors:Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang | :venue:WSDM 2019

Deep Graph Infomax <https://arxiv.org/pdf/1809.10341>_ | :authors:Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R Devon Hjelm | :venue:ICLR 2019

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization <http://keg.cs.tsinghua.edu.cn/jietang/publications/www19-Qiu-et-al-NetSMF-Large-Scale-Network-Embedding.pdf>_ | :authors:Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang | :venue:WWW 2019

Adversarial Training Methods for Network Embedding <https://dl.acm.org/citation.cfm?id=3313445>_ | :authors:Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang | :venue:WWW 2019

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning <https://arxiv.org/pdf/1906.07159.pdf>_ | :authors:Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang | :venue:NeurIPS 2019

ProGAN: Network Embedding via Proximity Generative Adversarial Network <https://dl.acm.org/citation.cfm?id=3330866>_ | :authors:Hongchang Gao, Jian Pei, Heng Huang | :venue:KDD 2019

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding <https://openreview.net/pdf?id=r1lGO0EKDH>_ | :authors:Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng | :venue:ICLR 2020

Node Representation Learning in Heterogeneous Graphs

Learning Latent Representations of Nodes for Classifying in Heterogeneous Social Networks <https://dl.acm.org/citation.cfm?id=2556225>_ | :authors:Yann Jacob, Ludovic Denoyer, Patrick Gallinari | :venue:WSDM 2014

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks <https://arxiv.org/pdf/1508.00200>_ | :authors:Jian Tang, Meng Qu, Qiaozhu Mei | :venue:KDD 2015 | :keywords:Text Embedding, Heterogeneous Text Graphs

Heterogeneous Network Embedding via Deep Architectures <https://dl.acm.org/citation.cfm?id=2783296>_ | :authors:Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang | :venue:KDD 2015

Network Representation Learning with Rich Text Information <https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/11098>_ | :authors:Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Chang | :venue:AAAI 2015

Max-Margin DeepWalk: Discriminative Learning of Network Representation <https://www.ijcai.org/Proceedings/16/Papers/547.pdf>_ | :authors:Cunchao Tu, Weicheng Zhang, Zhiyuan Liu, Maosong Sun | :venue:IJCAI 2016

metapath2vec: Scalable Representation Learning for Heterogeneous Networks <https://dl.acm.org/citation.cfm?id=3098036>_ | :authors:Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami | :venue:KDD 2017

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks <https://arxiv.org/pdf/1610.09769>_ | :authors:Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng | :venue:arXiv 2016

HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning <https://dl.acm.org/citation.cfm?id=3132953>_ | :authors:Tao-yang Fu, Wang-Chien Lee, Zhen Lei | :venue:CIKM 2017

An Attention-based Collaboration Framework for Multi-View Network Representation Learning <https://arxiv.org/pdf/1709.06636>_ | :authors:Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han | :venue:CIKM 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis <https://dl.acm.org/citation.cfm?id=3132909>_ | :authors:Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin | :venue:CIKM 2017

Attributed Signed Network Embedding <https://dl.acm.org/citation.cfm?id=3132847.3132905>_ | :authors:Suhang Wang, Charu Aggarwal, Jiliang Tang, Huan Liu | :venue:CIKM 2017

CANE: Context-Aware Network Embedding for Relation Modeling <https://aclweb.org/anthology/papers/P/P17/P17-1158/>_ | :authors:Cunchao Tu, Han Liu, Zhiyuan Liu, Maosong Sun | :venue:ACL 2017

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction <https://dl.acm.org/citation.cfm?id=3219986>_ | :authors:Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li | :venue:KDD 2018

BiNE: Bipartite Network Embedding <https://dl.acm.org/citation.cfm?id=3209978.3209987>_ | :authors:Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou | :venue:SIGIR 2018

StarSpace: Embed All The Things <https://arxiv.org/pdf/1709.03856>_ | :authors:Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston | :venue:AAAI 2018

Exploring Expert Cognition for Attributed Network Embedding <https://dl.acm.org/citation.cfm?id=3159655>_ | :authors:Xiao Huang, Qingquan Song, Jundong Li, Xia Hu | :venue:WSDM 2018

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction <https://arxiv.org/pdf/1712.00732>_ | :authors:Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu | :venue:WSDM 2018

Multidimensional Network Embedding with Hierarchical Structures <https://dl.acm.org/citation.cfm?id=3159680>_ | :authors:Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin | :venue:WSDM 2018

Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning <https://dl.acm.org/citation.cfm?id=3159711>_ | :authors:Meng Qu, Jian Tang, Jiawei Han | :venue:WSDM 2018

Generative Adversarial Network based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation <https://www.semanticscholar.org/paper/Generative-Adversarial-Network-Based-Heterogeneous-Cai-Han/1596d6487012696ba400fb69904a2c372a08a2be>_ | :authors:Xiaoyan Cai, Junwei Han, Libin Yang | :venue:AAAI 2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks <https://www.ijcai.org/proceedings/2018/438>_ | :authors:`Zhen Zha