UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks

28 July 2024

Papers citing "UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks"

6 / 6 papers shown

Title
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 60 1 0 03 Jan 2025
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 43 6 0 14 Oct 2024
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 87 74 0 19 Oct 2020
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
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 223 1,726 0 09 Jun 2018
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 75 5,262 0 03 Nov 2016