MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph
Contrastive Learning

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning

24 July 2023

Papers citing "MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning"

10 / 10 papers shown

Title
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Jundong Li OOD 93 0 0 11 Feb 2025
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
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 43 6 0 14 Oct 2024
Semantic Codebook Learning for Dynamic Recommendation Models Zheqi Lv Shaoxuan He Ahmed Salem Minxing Zhang Wenqiao Zhang Jingyuan Chen Yang Zhang Fei Wu 16 5 0 31 Jul 2024
Improving Graph Out-of-distribution Generalization on Real-world Data Can Xu Yao Cheng Jianxiang Yu Haosen Wang Jingsong Lv Xiang Li OOD 29 0 0 14 Jul 2024
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 21 26 0 11 Oct 2023
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
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 58 73 0 24 Jan 2022
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
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