Bag of Tricks for Node Classification with Graph Neural Networks

Bag of Tricks for Node Classification with Graph Neural Networks

24 March 2021

Yong Yu

Zheng-Wei Zhang

Papers citing "Bag of Tricks for Node Classification with Graph Neural Networks"

14 / 14 papers shown

Title
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 0 27 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 72 2 0 19 Mar 2024
Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models Debarati Das Ishaan Gupta Jaideep Srivastava Dongyeop Kang 35 9 0 16 Nov 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 81 3 0 04 Jun 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 22 38 0 21 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 31 19 0 03 Feb 2023
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 27 99 0 09 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 20 2 0 25 Nov 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng-Wei Zhang Zengfeng Huang David Wipf AAML 58 12 0 14 Oct 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
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 48 235 0 14 Jun 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