Deep Graph Infomax

27 September 2018

Papers citing "Deep Graph Infomax"

50 / 306 papers shown

Title
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition Yingwen Fu Nankai Lin Ziyu Yang Shengyi Jiang 24 4 0 02 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 11 50 0 30 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Zhiqiang Zhang Jun Zhou Jianzhong Wen 20 8 0 03 Mar 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 40 0 23 Feb 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 20 13 0 19 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 30 79 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 25 22 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 40 25 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun-Xiong Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs Feng Xia Lei Wang Tao Tang Xin Chen Xiangjie Kong G. Oatley Irwin King GNN 26 32 0 16 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 31 14 0 01 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 15 5 0 21 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 23 42 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 19 32 0 20 Jan 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 19 1 0 18 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 31 101 0 15 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 13 68 0 12 Jan 2022
Entropic Optimal Transport in Random Graphs Nicolas Keriven OT 10 4 0 11 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Wenwen Qiang Lingyu Si Fuchun Sun Changwen Zheng 15 11 0 11 Jan 2022
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping M. Park SSL 19 4 0 10 Jan 2022
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning Di Shao Xuequan Lu Xiao Liu 3DPC 18 14 0 06 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 23 0 0 05 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 19 4 0 31 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 21 10 0 16 Dec 2021
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision A. Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordonez VLM CLIP 25 6 0 14 Dec 2021
A Self-supervised Mixed-curvature Graph Neural Network Li Sun Zhongbao Zhang Junda Ye Hao Peng Jiawei Zhang Sen Su Philip S. Yu SSL 28 33 0 10 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 27 22 0 04 Dec 2021
Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang Qiang Zhang Haihong Yang Xiang Zhuang Shumin Deng Wen Zhang Minghai Qin Zhuo Chen Xiaohui Fan Huajun Chen 13 107 0 01 Dec 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 23 24 0 20 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 35 2 0 05 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 22 34 0 01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 18 3 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 192 0 28 Oct 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 31 57 0 28 Oct 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks Pengyong Li Jun Wang Ziliang Li Yixuan Qiao Xianggen Liu Fei Ma Peng Gao Sen Song Guowang Xie SSL 23 16 0 26 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson H. Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 29 270 0 18 Oct 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 21 7 0 16 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering Wei Xia Quanxue Gao Ming Yang Xinbo Gao SSL 56 29 0 15 Oct 2021
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling Ling Zhan Tao Jia 20 8 0 12 Oct 2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering Donghan Yu Chenguang Zhu Yuwei Fang W. Yu Shuohang Wang Yichong Xu Xiang Ren Yiming Yang Michael Zeng 13 88 0 08 Oct 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks Huance Xu Chao Huang Yong-mei Xu Lianghao Xia Hao Xing Dawei Yin 16 33 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 117 302 0 07 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami S. Parthasarathy Balaraman Ravindran GNN 27 18 0 05 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun-Xiong Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 120 0 05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 32 248 0 03 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021