Towards Deep Attention in Graph Neural Networks: Problems and Remedies

4 June 2023

Papers citing "Towards Deep Attention in Graph Neural Networks: Problems and Remedies"

9 / 9 papers shown

Title
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 142 0 0 28 Apr 2025
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 37 0 0 16 Jul 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 38 0 0 15 Apr 2024
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 78 180 0 23 May 2022
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
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019