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Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

2 June 2023
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
ArXivPDFHTML

Papers citing "Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?"

14 / 14 papers shown
Title
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
Jinluan Yang
Zhengyu Chen
Teng Xiao
Wenqiao Zhang
Yong Lin
Kun Kuang
53
1
0
18 Aug 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
42
5
0
05 Jun 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
37
5
0
06 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
34
23
0
07 Feb 2024
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic
  Forecasting
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Qian Ma
Zijian Zhang
Xiangyu Zhao
Haoliang Li
Hongwei Zhao
Yiqi Wang
Zitao Liu
Wanyu Wang
24
12
0
20 Sep 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Juanhui Li
Harry Shomer
Haitao Mao
Shenglai Zeng
Yao Ma
Neil Shah
Jiliang Tang
Dawei Yin
76
50
0
18 Jun 2023
Clarify Confused Nodes via Separated Learning
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
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Qing Cui
Jun Zhou
92
54
0
27 Jan 2022
Stable Prediction on Graphs with Agnostic Distribution Shift
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
OOD
39
8
0
08 Oct 2021
Grale: Designing Networks for Graph Learning
Grale: Designing Networks for Graph Learning
Jonathan J. Halcrow
A. Mosoi
Sam Ruth
Bryan Perozzi
GNN
65
47
0
23 Jul 2020
Geom-GCN: Geometric Graph Convolutional Networks
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
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
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