GEMS Lab: Graph Exploration & Mining at Scale, University of Michigan

Code repository for work by the GEMS Lab: https://gemslab.github.io/research/

StrucEmbedding-GraphLibrary Public
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.

Python 12 2 1 5 Updated Sep 30, 2022
CAPER Public

Python 3 1 0 0 Updated Aug 13, 2022
HeteRobust Public
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)

Python 4 0 0 0 Updated Jul 24, 2022
H2GCN Public
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Python 65 13 1 0 Updated Apr 20, 2022
GCLAugmentations-BestPractices Public

3 0 0 0 Updated Feb 18, 2022
LinkWaldo Public
Select a set of pairs to check in link prediction from the vast, sparse space of possible pairs

Python 5 1 0 0 Updated Oct 20, 2021
CPGNN Public

Python 16 3 0 0 Updated Oct 10, 2021
RefiNA Public

Python 0 MIT 0 0 0 Updated Jun 2, 2021
REGAL Public
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Python 76 MIT 15 7 0 Updated Mar 30, 2021
PhUSION Public

Python 3 2 0 0 Updated Mar 3, 2021

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