Can Self Supervision Rejuvenate Similarity-Based Link Prediction?

Can Self Supervision Rejuvenate Similarity-Based Link Prediction?

24 October 2024

James Jianqiao Yu

Mohamed Ali Kaafar

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Papers citing "Can Self Supervision Rejuvenate Similarity-Based Link Prediction?"

19 / 19 papers shown

Title
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 106 135 0 23 May 2022
Neural Link Prediction with Walk Pooling Liming Pan Chen Shi Ivan Dokmanić 74 52 0 08 Oct 2021
Variational Graph Normalized Auto-Encoders S. Ahn Myoung-Ho Kim 55 74 0 18 Aug 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 97 325 0 13 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 69 72 0 05 Jun 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 82 258 0 16 May 2021
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 63 55 0 15 Sep 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 234 1,305 0 10 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 395 18,897 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 157 712 0 28 Oct 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 252 3,188 0 19 Feb 2019
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs Dimitris Berberidis G. Giannakis 51 18 0 27 Nov 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,399 0 27 Sep 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 115 1,945 0 27 Feb 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 521 15,369 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 684 29,183 0 09 Sep 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 149 2,156 0 17 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014