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

cone-align icon cone-align

Network alignment using proximity-preserving node embedding and subspace alignment

ember icon ember

Node embedding for directed, weighted networks

groupinn icon groupinn

GNN with summarization/grouping layer for speed and interpretability

h2gcn icon h2gcn

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

hashalign icon hashalign

Hashing-based network alignment based on structural features

heterobust icon heterobust

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

kgist icon kgist

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

linkwaldo icon linkwaldo

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

multilens icon multilens

Framework for latent network summarization: bridging network embedding and summarization

node2bits icon node2bits

Compact time- and attribute-aware node representations

penminer icon penminer

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

regal icon regal

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

rgm icon rgm

Fast embedding-based graph classification with connections to kernels

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