Diffusion Improves Graph Learning

28 October 2019

Stephan Günnemann

Papers citing "Diffusion Improves Graph Learning"

50 / 346 papers shown

Title
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
Projections of Model Spaces for Latent Graph Inference Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ingmar Posner 32 9 0 21 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Jia Wu Chun-Yi Liu Philip S. Yu 25 45 0 17 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 26 1 0 09 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 47 3 0 01 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 37 1 0 01 Mar 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting Zhichen Lai Dalin Zhang Huan Li Christian S. Jensen Hua Lu Yan Zhao AI4TS 35 29 0 23 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 31 1 0 22 Feb 2023
Understanding Oversquashing in GNNs through the Lens of Effective Resistance Mitchell Black Zhengchao Wan A. Nayyeri Yusu Wang 32 65 0 14 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio Michael M. Bronstein 53 113 0 06 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 34 1 0 28 Jan 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 25 8 0 24 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 32 83 0 23 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 29 16 0 05 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 34 8 0 20 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 32 15 0 18 Dec 2022
Leave Graphs Alone: Addressing Over-Squashing without Rewiring Adam Santoro Ashish Vaswani 24 12 0 13 Dec 2022
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 29 46 0 05 Dec 2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan Siwei Wang Pei Zhang En Zhu Jingtao Hu Huan Jin Yue Liu Zhibin Dong 30 80 0 01 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 34 64 0 28 Nov 2022
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 41 28 0 28 Nov 2022
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 45 19 0 26 Nov 2022
Benchmarking Graph Neural Networks for FMRI analysis A. E. Gazzar R. Thomas G. Wingen 30 6 0 16 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 24 3 0 15 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 21 0 0 15 Nov 2022
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning Jong-whi Lee Jinhong Jung 24 11 0 02 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 47 20 0 31 Oct 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 36 0 0 30 Oct 2022
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process Fuyang Li Jiying Zhang Xi Xiao Bin Zhang Dijun Luo 32 3 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Beyond Homophily with Graph Echo State Networks Domenico Tortorella Alessio Micheli 30 4 0 27 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 21 26 0 24 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 38 1 0 21 Oct 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 32 18 0 21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs Kedar Karhadkar P. Banerjee Guido Montúfar 39 59 0 21 Oct 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 41 18 0 15 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 84 4 0 14 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 78 13 0 08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 48 8 0 08 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting Kun Yi Qi Zhang Liang Hu Hui He Ning An LongBing Cao ZhenDong Niu AI4TS 59 3 0 06 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 54 0 06 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning Zehong Wang Qi Li Donghua Yu Xiaolong Han Xiaohong Gao Shigen Shen 52 28 0 01 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 36 50 0 30 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 30 14 0 24 Sep 2022
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 47 11 0 20 Sep 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 30 27 0 17 Sep 2022
Towards Higher-order Topological Consistency for Unsupervised Network Alignment Qi-Xin Sun Xuemin Lin Wenjie Qu Wenbo Zhang Chaoqi Chen 21 10 0 26 Aug 2022
Data Augmentation for Graph Data: Recent Advancements Maria Marrium Arif Mahmood 23 7 0 25 Aug 2022