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Exploring Edge Disentanglement for Node Classification

Exploring Edge Disentanglement for Node Classification

23 February 2022
Tianxiang Zhao
Xiang Zhang
Suhang Wang
ArXivPDFHTML

Papers citing "Exploring Edge Disentanglement for Node Classification"

5 / 5 papers shown
Title
EsaCL: Efficient Continual Learning of Sparse Models
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren
V. Honavar
CLL
15
3
0
11 Jan 2024
Self-Explainable Graph Neural Networks for Link Prediction
Self-Explainable Graph Neural Networks for Link Prediction
Huaisheng Zhu
Dongsheng Luo
Xianfeng Tang
Junjie Xu
Hui Liu
Suhang Wang
11
1
0
21 May 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
28
11
0
16 Dec 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks
Towards Faithful and Consistent Explanations for Graph Neural Networks
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
FAtt
42
18
0
27 May 2022
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
167
1,058
0
13 Feb 2020
1