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

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"

10 / 10 papers shown

Title
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Hongzhi Yin Tieke He 21 0 0 19 Apr 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 Jiliang Tang AI4CE 49 0 0 30 Nov 2024
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li Ding Wang Zijian Ding Atefeh Sohrabizadeh Zongyue Qin Jason Cong Yizhou Sun 25 2 0 25 Oct 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs Siqing Li Jin-Duk Park Wei Huang Xin Cao Won-Yong Shin Zhiqiang Xu 21 0 0 10 Sep 2024
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 36 19 0 13 Sep 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 137 323 0 18 Feb 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 0 28 Sep 2019
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 131 0 23 Jul 2018