Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach

5 June 2024

Hui Liu

Papers citing "Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach"

37 / 37 papers shown

Title
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 169 0 0 20 May 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Neil Shah Jiliang Tang AI4CE 193 3 0 30 Nov 2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin Haitao Mao Zheng Li Haoming Jiang Cheng-hsin Luo ... Suhang Wang Yizhou Sun Jiliang Tang Bing Yin Xianfeng Tang AI4TS 65 40 0 19 Jul 2023
Towards Label Position Bias in Graph Neural Networks Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Jiliang Tang 64 4 0 25 May 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 73 35 0 06 Apr 2023
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 47 8 0 15 Oct 2022
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 73 45 0 13 Sep 2022
Towards Understanding Mixture of Experts in Deep Learning Zixiang Chen Yihe Deng Yue-bo Wu Quanquan Gu Yuan-Fang Li MLT MoE 66 55 0 04 Aug 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 89 8 0 08 Jun 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 281 355 0 18 Feb 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du Yanping Huang Andrew M. Dai Simon Tong Dmitry Lepikhin ... Kun Zhang Quoc V. Le Yonghui Wu Zhiwen Chen Claire Cui ALM MoE 209 812 0 13 Dec 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 108 226 0 21 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 63 135 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 234 0 11 Jun 2021
Scaling Vision with Sparse Mixture of Experts C. Riquelme J. Puigcerver Basil Mustafa Maxim Neumann Rodolphe Jenatton André Susano Pinto Daniel Keysers N. Houlsby MoE 101 600 0 10 Jun 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 78 101 0 03 Apr 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 100 76 0 13 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 165 588 0 04 Jan 2021
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 116 1,485 0 04 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 261 738 0 14 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 301 2,728 0 02 May 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 126 705 0 28 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 255 860 0 28 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 65 508 0 26 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 54 130 0 26 Sep 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 116 432 0 23 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 750 8,517 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 214 1,685 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 236 7,638 0 01 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 466 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 487 15,232 0 07 Jun 2017
Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen Xiang Li Joan Bruna 58 78 0 23 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 185 659 0 22 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 586 7,441 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 612 29,032 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 337 7,648 0 30 Jun 2016