Generalizing Graph Neural Networks on Out-of-Distribution Graphs
Author:
Affiliation:
1. Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
2. School of Software, Beihang University, Beijing, China
3. Department of Computer Science and Technology, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10345401/10268633.pdf?arnumber=10268633
Reference76 articles.
1. GNNExplainer: Generating explanations for graph neural networks;Ying
2. The Graph Neural Network Model
3. Semi-supervised classification with graph convolutional networks;Kipf
4. Graph attention networks;Veličković
5. Inductive representation learning on large graphs;Hamilton
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