Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks

21 December 2022

Sitao Luan

Papers citing "Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks"

31 / 31 papers shown

Title
EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics Chenqing Hua Yong Liu Dinghuai Zhang Odin Zhang Sitao Luan Kevin K. Yang Guy Wolf Doina Precup Shuangjia Zheng 31 5 0 01 Oct 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 30 2 0 15 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks Sitao Luan Qincheng Lu Chenqing Hua X. Wang Jiaqi Zhu Xiao-Wen Chang Guy Wolf Jian Tang 57 2 0 09 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning Zhixiang Shen Zhao Kang 33 0 0 01 Sep 2024
Reactzyme: A Benchmark for Enzyme-Reaction Prediction Chenqing Hua Bozitao Zhong Sitao Luan Liang Hong Guy Wolf Doina Precup Shuangjia Zheng 32 5 0 24 Aug 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 44 5 0 27 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 36 2 0 14 Jun 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 34 2 0 24 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 32 3 0 22 May 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 33 6 0 03 Mar 2024
Effective Protein-Protein Interaction Exploration with PPIretrieval Chenqing Hua Connor W. Coley Guy Wolf Doina Precup Shuangjia Zheng 28 3 0 06 Feb 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering Zichen Wen Yawen Ling Yazhou Ren Tianyi Wu Jianpeng Chen X. Pu Zhifeng Hao Lifang He 27 12 0 05 Jan 2024
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 31 16 0 31 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 44 10 0 29 Jul 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 21 5 0 22 Jun 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan Chenqing Hua Minkai Xu Qincheng Lu Jiaqi Zhu Xiaoming Chang Jie Fu J. Leskovec Doina Precup 38 3 0 25 Apr 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 19 2 0 11 Mar 2023
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 34 20 0 31 Oct 2022
When Do We Need Graph Neural Networks for Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Xiaoming Chang Doina Precup 32 0 0 30 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 41 179 0 14 Oct 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 23 2 0 14 Sep 2022
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey Chenqing Hua Sitao Luan Qian Zhang Jie Fu 15 6 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 72 25 0 24 May 2022
Revisiting the role of heterophily in graph representation learning: An edge classification perspective Jincheng Huang P. Li Ruifang Huang Chen Na Acong Zhang 37 13 0 23 May 2022
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 33 112 0 12 Sep 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 558 0 04 Jan 2021
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks Sitao Luan Mingde Zhao X. Chang Doina Precup GNN 15 9 0 20 Aug 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 836 0 28 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016