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DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization

8 August 2024
Xin Sun
Liang Wang
Qiang Liu
Shu Wu
Zilei Wang
Liang Wang
    OOD
    CML
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Papers citing "DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization"

9 / 9 papers shown
Title
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang
Shaozhen Liu
Yu Rong
Deli Zhao
Qiang Liu
Shu Wu
Liang Wang
MedIm
68
2
0
22 Feb 2025
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
39
2
0
02 Nov 2024
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
47
2
0
25 Oct 2024
Learning Invariant Molecular Representation in Latent Discrete Space
Learning Invariant Molecular Representation in Latent Discrete Space
Zhuang Xiang
Qiang Zhang
Keyan Ding
Yatao Bian
Xiao Wang
Jingsong Lv
Hongyang Chen
Huajun Chen
OOD
26
16
0
22 Oct 2023
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
99
224
0
30 Jan 2022
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
59
184
0
19 Apr 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
172
1,775
0
02 Mar 2017
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
9,327
0
28 May 2015
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