Multi-View Graph Representation Learning Beyond Homophily

15 April 2023

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Papers citing "Multi-View Graph Representation Learning Beyond Homophily"

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Title
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 74 31 0 11 Apr 2022
Graph Representation Learning Beyond Node and Homophily You Li Bei Lin Binli Luo Ning Gui SSL 81 15 0 03 Mar 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 78 226 0 14 Feb 2022
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 122 359 0 27 Oct 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 77 76 0 10 Jun 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 113 156 0 12 May 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 109 203 0 28 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 176 590 0 04 Jan 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,067 0 20 Nov 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 59 156 0 27 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 738 0 14 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,302 0 10 Jun 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 117 25 0 19 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 321 1,122 0 13 Feb 2020
Learning Canonical Representations for Scene Graph to Image Generation Roei Herzig Amir Bar Huijuan Xu Gal Chechik Trevor Darrell Amir Globerson GNN OCL 66 108 0 16 Dec 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 266 863 0 28 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 663 5,808 0 25 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 496 0 11 Jun 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 124 434 0 23 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 103 517 0 18 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 95 913 0 30 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,179 0 19 Feb 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 69 167 0 28 Jan 2019
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,386 0 27 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 330 2,670 0 20 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 513 1,987 0 09 Jun 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 59 446 0 13 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 174 1,980 0 17 Sep 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,235 0 25 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
struc2vec: Learning Node Representations from Structural Identity Leonardo F. R. Ribeiro Pedro H. P. Saverese Daniel R. Figueiredo 72 1,158 0 11 Apr 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,291 0 24 Nov 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,586 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,876 0 03 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,800 0 26 Mar 2014