Diffusion Improves Graph Learning

28 October 2019

Stephan Günnemann

Papers citing "Diffusion Improves Graph Learning"

50 / 344 papers shown

Title
Oversquashing in GNNs through the lens of information contraction and graph expansion P. Banerjee Kedar Karhadkar Yu Guang Wang Uri Alon Guido Montúfar 15 43 0 06 Aug 2022
Rewiring Networks for Graph Neural Network Training Using Discrete Geometry Jakub Bober Anthea Monod Emil Saucan K. Webster 26 16 0 16 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 23 23 0 15 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 34 13 0 01 Jul 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 31 14 0 26 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Bin Cui AAML 18 16 0 17 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 19 60 0 15 Jun 2022
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition Yuelin Wang Kai Yi Xinliang Liu Yu Guang Wang Shi Jin 8 33 0 11 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 16 64 0 10 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 19 108 0 09 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems Armin Danesh Pazho Ghazal Alinezhad Noghre Arnab A. Purkayastha Jagannadh Vempati Otto Martin Hamed Tabkhi GNN 13 32 0 08 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 19 14 0 06 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 19 20 0 03 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 Jun 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 9 0 0 28 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 16 12 0 27 May 2022
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 14 3 0 24 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 178 0 23 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 55 0 19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 19 2 0 15 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture Model Maedeh Ahmadi M. Safayani Abdolreza Mirzaei 14 4 0 10 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 11 44 0 10 May 2022
Optimal Propagation for Graph Neural Networks Beidi Zhao Boxin Du Zhe Xu Liangyue Li Hanghang Tong GNN 12 0 0 06 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 17 0 0 30 Apr 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning Cuiying Huo Dongxiao He Peican Zhu Di Jin Jianwu Dang Weixiong Zhang Witold Pedrycz Lingfei Wu SSL 25 3 0 30 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie R. Kannan C.-C. Jay Kuo 22 2 0 19 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice H. Oh SSL GNN 21 254 0 11 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering Jun Hu Bryan Hooi Shengsheng Qian Quan Fang Changsheng Xu 23 25 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
GRAND+: Scalable Graph Random Neural Networks Wenzheng Feng Yuxiao Dong Tinglin Huang Ziqi Yin Xu Cheng Evgeny Kharlamov Jie Tang GNN 22 41 0 12 Mar 2022
Message passing all the way up Petar Velickovic 109 63 0 22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 14 29 0 21 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 20 78 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 19 218 0 16 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 25 2 0 05 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 11 99 0 04 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Yan Zhang 20 5 0 31 Jan 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 22 0 0 30 Jan 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 22 32 0 29 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 23 141 0 19 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 11 129 0 17 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 13 4 0 31 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Z. Hao 6 22 0 30 Dec 2021
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 23 7 0 23 Dec 2021
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning Hansheng Xue V. Mallawaarachchi Yujia Zhang Vaibhav Rajan Yu Lin 14 12 0 22 Dec 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods Md. Khaledur Rahman A. Azad AI4TS 22 3 0 20 Dec 2021
Graph Representation Learning via Contrasting Cluster Assignments Chun-Yang Zhang Hong-Yu Yao F. I. C. L. Philip Chen Yue-Na Lin SSL 16 2 0 15 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 13 26 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 25 33 0 10 Dec 2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Liang Zeng Bo Hui Chenxing Wang GNN BDL AI4TS 8 9 0 06 Dec 2021