Revisiting Graph Convolutional Network on Semi-Supervised Node
Classification from an Optimization Perspective

Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective

24 September 2020

Yuan Zhang

Papers citing "Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective"

7 / 7 papers shown

Title
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 60 4 0 31 Dec 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 48 0 0 26 Mar 2024
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 52 15 0 12 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 32 62 0 08 Nov 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018