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Structural Re-weighting Improves Graph Domain Adaptation

Structural Re-weighting Improves Graph Domain Adaptation

5 June 2023
Shikun Liu
Tianchun Li
Yongbin Feng
Nhan Tran
Haiying Zhao
Qiu Qiang
Pan Li
    OOD
    AI4CE
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Papers citing "Structural Re-weighting Improves Graph Domain Adaptation"

12 / 12 papers shown
Title
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
106
2
0
05 Feb 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
91
2
0
17 Jan 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 Li
Jundong Li
Kaize Ding
OOD
53
2
0
25 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
48
1
0
09 Oct 2024
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
Degree-Conscious Spiking Graph for Cross-Domain Adaptation
Yingxu Wang
Mengzhu Wang
Siwei Liu
Houcheng Su
Nan Yin
James Kwok
34
3
0
09 Oct 2024
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
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain
  Adaptation
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Meihan Liu
Zhen Zhang
Jiachen Tang
Jiajun Bu
Bingsheng He
Sheng Zhou
39
3
0
09 Jul 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODD
OOD
AI4CE
40
18
0
18 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
29
5
0
17 Feb 2024
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
36
34
0
29 Oct 2023
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
153
0
23 Jul 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,342
0
28 May 2015
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