Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs

7 January 2024

Papers citing "Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs"

7 / 7 papers shown

Title
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 44 8 0 03 May 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 33 1 0 10 Mar 2024
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 64 35 0 04 Oct 2022
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
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks Xiang Li Danhao Ding B. Kao Yizhou Sun N. Mamoulis 37 46 0 18 Dec 2020
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 215 901 0 02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017