Dissecting the Diffusion Process in Linear Graph Convolutional Networks

22 February 2021

Papers citing "Dissecting the Diffusion Process in Linear Graph Convolutional Networks"

44 / 44 papers shown

Title
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 54 0 0 18 Apr 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 42 2 0 15 Feb 2025
SA-GDA: Spectral Augmentation for Graph Domain Adaptation Jinhui Pang Zixuan Wang Jiliang Tang Mingyan Xiao Nan Yin OOD 46 20 0 17 Aug 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 39 2 0 14 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 41 6 0 04 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 42 2 0 04 Jun 2024
Lying Graph Convolution: Learning to Lie for Node Classification Tasks Daniele Castellana 32 0 0 02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu Cesare Alippi AI4TS CML 28 4 0 30 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 39 2 0 29 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 51 3 0 12 Mar 2024
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease So Yeon Kim Sehee Wang Eun Kyung Choe 26 0 0 05 Mar 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 28 1 0 20 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee Haiyang Yu Jian Zhang V. Ioannidis Xiang Song Soji Adeshina Da Zheng Christos Faloutsos 24 1 0 12 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 36 11 0 09 Feb 2024
Online Algorithm for Node Feature Forecasting in Temporal Graphs Aniq Ur Rahman J. Coon 25 0 0 30 Jan 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 21 1 0 18 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 54 7 0 27 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 24 31 0 22 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 22 15 0 14 Dec 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 36 13 0 28 Oct 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 40 11 0 12 Jul 2023
Reconstructing Graph Diffusion History from a Single Snapshot Ruizhong Qiu Dingsu Wang Lei Ying H. Vincent Poor Yifang Zhang Hanghang Tong DiffM 24 6 0 01 Jun 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 25 9 0 24 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 32 29 0 14 May 2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang Qi Zhang Tianqi Du Jiansheng Yang Zhouchen Lin Yisen Wang SSL 32 18 0 08 Mar 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 16 0 0 01 Feb 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 24 82 0 23 Jan 2023
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 27 0 25 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 21 26 0 24 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 21 50 0 18 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 72 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 45 8 0 08 Oct 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Langzhang Liang Zenglin Xu Zixing Song Irwin King Yuan Qi Jieping Ye 32 21 0 16 Jun 2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs Ming Jin Yu Zheng Yuanhao Li Siheng Chen B. Yang Shirui Pan BDL AI4TS AI4CE 20 100 0 17 Feb 2022
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 21 13 0 22 Dec 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 26 22 0 11 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 32 62 0 08 Nov 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 38 18 0 21 Jul 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018