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Robust Optimization as Data Augmentation for Large-scale Graphs

Robust Optimization as Data Augmentation for Large-scale Graphs

19 October 2020
Kezhi Kong
G. Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Bernard Ghanem
Gavin Taylor
Tom Goldstein
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Papers citing "Robust Optimization as Data Augmentation for Large-scale Graphs"

12 / 12 papers shown
Title
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi
Dhruv Shah
Manasi S. Patwardhan
L. Vig
Gautam M. Shroff
LLMAG
AI4CE
131
0
0
28 Apr 2025
Causal invariant geographic network representations with feature and structural distribution shifts
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang
Silu He
Qinyao Luo
Hongyuan Yuan
Ling Zhao
Jiawei Zhu
Haifeng Li
OOD
64
0
0
25 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
89
0
0
16 Mar 2025
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
37
2
0
03 Aug 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation
  for Particle Decay Reconstruction
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Junjian Lu
Siwei Liu
Dmitrii Kobylianski
Etienne Dreyer
Eilam Gross
Shangsong Liang
27
3
0
18 Feb 2024
Exploring Graph Classification Techniques Under Low Data Constraints: A
  Comprehensive Study
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
Kush Kothari
Bhavya Mehta
Reshmika Nambiar
S. Shrawne
18
0
0
21 Nov 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
26
14
0
12 Apr 2023
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
16
8
0
20 Dec 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Adversarial Camouflage for Node Injection Attack on Graphs
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
30
21
0
03 Aug 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng-Long Jiang
OOD
25
79
0
17 Feb 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
914
0
02 Mar 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
124
103
0
17 Oct 2019
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