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

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

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

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  1. REGAL REGAL Public

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

    Python 97 16

  2. VoG_Graph_Summarization VoG_Graph_Summarization Public

    Summarization of static graphs using the Minimum Description Length principle

    Python 28 16

  3. MultiLENS MultiLENS Public

    Framework for latent network summarization: bridging network embedding and summarization

    Python 10 2

  4. KGist KGist Public

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

    Python 38 8

  5. GroupINN GroupINN Public

    GNN with summarization/grouping layer for speed and interpretability

    Python 15 5

  6. MCbook_Individual-Collective_GraphMining MCbook_Individual-Collective_GraphMining Public

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

    20 12

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