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Automated Self-Supervised Learning for Graphs

10 June 2021

Xiaorui Liu

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Papers citing "Automated Self-Supervised Learning for Graphs"

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Title
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 127 0 0 02 Feb 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Neil Shah Jiliang Tang AI4CE 231 4 0 30 Nov 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 104 5 0 27 Sep 2023
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 106 82 0 17 Feb 2022
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 120 106 0 12 Aug 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 105 57 0 19 Jul 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 137 109 0 05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 64 60 0 12 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 75 135 0 11 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 479 0 10 Jun 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 103 335 0 22 Feb 2021
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah Leman Akoglu 68 37 0 05 Dec 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 79 257 0 19 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 84 1,112 0 27 Oct 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 82 248 0 03 Sep 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 106 607 0 18 Jul 2020
Loss Function Search for Face Recognition Xiaobo Wang Shuo Wang Cheng Chi Shifeng Zhang Tao Mei CVBM 83 49 0 10 Jul 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Hanyu Wang Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 60 178 0 17 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 229 960 0 17 Jun 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps Xianfeng Tang Yozen Liu Neil Shah Xiaolin Shi P. Mitra Suhang Wang AI4TS 91 44 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 84 707 0 20 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 309 2,746 0 02 May 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 82 65 0 03 Mar 2020
Evolving Losses for Unsupervised Video Representation Learning A. Piergiovanni A. Angelova Michael S. Ryoo SSL 70 140 0 26 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 324 1,123 0 13 Feb 2020
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 116 1,415 0 29 May 2019
AM-LFS: AutoML for Loss Function Search Chuming Li Yuan Xin Chen Lin Minghao Guo Wei Wu Wanli Ouyang Junjie Yan VLM 114 71 0 17 May 2019
Gender Bias in Contextualized Word Embeddings Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordonez Kai-Wei Chang FaML 123 421 0 05 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 237 4,361 0 06 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 128 573 0 22 Feb 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 161 716 0 25 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 783 8,566 0 03 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,365 0 14 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 74 1,561 0 01 Nov 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 71 30 0 04 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,396 0 27 Sep 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 88 1,901 0 15 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 204 4,366 0 24 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,550 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 766 3,129 0 04 Jun 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,221 0 23 Apr 2018
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery Zhongzheng Ren Yong Jae Lee SSL OOD 90 212 0 24 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
Multi-task Self-Supervised Visual Learning Carl Doersch Andrew Zisserman SSL 83 633 0 25 Aug 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,488 0 04 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,591 0 21 Nov 2016