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Graph Out-of-Distribution Generalization with Controllable Data
  Augmentation

Graph Out-of-Distribution Generalization with Controllable Data Augmentation

16 August 2023
Bin Lu
Xiaoying Gan
Ze Zhao
Shiyu Liang
Luoyi Fu
Xinbing Wang
Cheng Zhou
ArXivPDFHTML

Papers citing "Graph Out-of-Distribution Generalization with Controllable Data Augmentation"

8 / 8 papers shown
Title
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
Aditya Hemant Shahane
Prathosh A.P
Sandeep Kumar
CLL
23
0
0
07 Apr 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
27
1
0
07 Apr 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of
  Aligned Experts
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu
Kaidi Cao
Bruno Ribeiro
James Y. Zou
J. Leskovec
OOD
16
3
0
07 Dec 2023
Clustering by the Probability Distributions from Extreme Value Theory
Clustering by the Probability Distributions from Extreme Value Theory
Sixiao Zheng
Ke Fan
Yanxi Hou
Jianfeng Feng
Yanwei Fu
14
5
0
20 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
89
222
0
30 Jan 2022
Robust Optimization as Data Augmentation for Large-scale Graphs
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
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
898
0
02 Mar 2020
1