Empowering Graph Representation Learning with Test-Time Graph Transformation

7 October 2022

Papers citing "Empowering Graph Representation Learning with Test-Time Graph Transformation"

6 / 6 papers shown

Title
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 79 170 0 30 Jan 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Zhiqiang Zhang Jun Zhou 74 37 0 27 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 141 812 0 21 Oct 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 165 287 0 16 Jan 2021
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 53 43 0 23 Jul 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 122 682 0 28 Sep 2019