GCNH: A Simple Method For Representation Learning On Heterophilous Graphs

21 April 2023

Papers citing "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs"

7 / 7 papers shown

Title
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion Manman Yuan Weiming Jia Xiong Luo Jiazhen Ye Peican Zhu Junlin Li 74 0 0 11 Dec 2024
Transfer Entropy in Graph Convolutional Neural Networks Adrian Moldovan A. Cataron Razvan Andonie GNN 31 1 0 08 Jun 2024
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification Hanxuan Yang Zhaoxin Yu Qingchao Kong Wei Liu Wenji Mao SSL 31 0 0 26 Mar 2024
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 40 11 0 12 Jul 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 31 12 0 14 Feb 2023
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 562 0 04 Jan 2021
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