Diffusion Improves Graph Learning

28 October 2019

Stephan Günnemann

Papers citing "Diffusion Improves Graph Learning"

50 / 344 papers shown

Title
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 19 1 0 04 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 14 0 0 02 Dec 2021
Graph Conditioned Sparse-Attention for Improved Source Code Understanding Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 19 1 0 01 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 39 424 0 29 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 20 87 0 23 Nov 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
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 12 1 0 19 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 29 15 0 12 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 13 3 0 29 Oct 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 19 28 0 28 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 25 47 0 27 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 14 123 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 32 79 0 18 Oct 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 9 8 0 14 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 13 34 0 03 Oct 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 39 27 0 08 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 6 167 0 02 Sep 2021
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Zonghan Wu Da Zheng Shirui Pan Quan Gan Guodong Long George Karypis AI4TS 22 32 0 25 Aug 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 6 67 0 25 Aug 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 18 22 0 24 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 22 122 0 23 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 25 11 0 03 Aug 2021
ROD: Reception-aware Online Distillation for Sparse Graphs Wentao Zhang Yuezihan Jiang Yang Li Zeang Sheng Yu Shen Xupeng Miao Liang Wang Zhi-Xin Yang Bin Cui 22 24 0 25 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 34 17 0 21 Jul 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 20 209 0 23 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 30 210 0 21 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 22 253 0 21 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 22 6 0 18 Jun 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 14 91 0 18 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 21 34 0 14 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 21 131 0 11 Jun 2021
GraphiT: Encoding Graph Structure in Transformers Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal 4 163 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 18 132 0 10 Jun 2021
Learning Based Proximity Matrix Factorization for Node Embedding Xingyi Zhang Kun Xie Sibo Wang Zengfeng Huang GNN 14 31 0 10 Jun 2021
$$\ell_2$-norm Flow Diffusion in Near-Linear Time$ $\ell_2$ -norm Flow Diffusion in Near-Linear Time Li Chen Richard Peng Di Wang 8 0 0 30 May 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 19 153 0 12 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 22 7 0 07 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 60 67 0 03 May 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features Yunxiang Zhao Jianzhong Qi Qingwei Liu Rui Zhang GNN 24 33 0 29 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 28 98 0 03 Apr 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 19 39 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 25 34 0 26 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 20 17 0 24 Mar 2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction Xinxing Wu Q. Cheng GNN AI4CE 12 11 0 21 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 25 119 0 21 Mar 2021
Self-Supervised Longitudinal Neighbourhood Embedding J. Ouyang Qingyu Zhao Ehsan Adeli E. Sullivan A. Pfefferbaum Greg Zaharchuk K. Pohl 11 19 0 05 Mar 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 18 98 0 04 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 22 122 0 04 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021