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

CPGNN

GroupINN

GNN with summarization/grouping layer for speed and interpretability

H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

HeteRobust

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)

KGist

Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)

MCbook_Individual-Collective_GraphMining

Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

MultiLENS

Framework for latent network summarization: bridging network embedding and summarization

REGAL

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

StrucEmbedding-GraphLibrary

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

VoG_Graph_Summarization

Summarization of static graphs using the Minimum Description Length principle

GemsLab/H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

GemsLab/REGAL

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

GemsLab/KGist

Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)

GemsLab/VoG_Graph_Summarization

Summarization of static graphs using the Minimum Description Length principle

GemsLab/CPGNN

GemsLab/MCbook_Individual-Collective_GraphMining

Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

GemsLab/StrucEmbedding-GraphLibrary

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

GemsLab/GroupINN

GNN with summarization/grouping layer for speed and interpretability

GemsLab/HeteRobust

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)

GemsLab/RGM

Fast embedding-based graph classification with connections to kernels

GemsLab/MultiLENS

Framework for latent network summarization: bridging network embedding and summarization

GemsLab/GLIMPSE-personalized-KGsummarization

Personalized knowledge graph summarization based on historical queries

GemsLab/hashing-based-network-discovery

Hashing-based network discovery from time series

GemsLab/PENminer

Measuring the persistence of activity snippets in evolving networks (KDD '20)

GemsLab/CAPER

GemsLab/CONE-Align

Network alignment using proximity-preserving node embedding and subspace alignment

GemsLab/EMBER

Node embedding for directed, weighted networks

GemsLab/LinkWaldo

Select a set of pairs to check in link prediction from the vast, sparse space of possible pairs

GemsLab/node2bits

Compact time- and attribute-aware node representations

GemsLab/GCLAugmentations-BestPractices

GemsLab/HashAlign

Hashing-based network alignment based on structural features

GemsLab/PhUSION

GemsLab/RefiNA

GemsLab/Network-Data-Career-Transitions

Network datasets of post-PhD career transitions and trajectories in computing research