graph-deep-learning

Open-source projects categorized as graph-deep-learning

Top 4 graph-deep-learning Open-Source Projects

  • benchmarking-gnns

    Repository for benchmarking graph neural networks

  • spektral

    Graph Neural Networks with Keras and Tensorflow 2.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • graphtransformer

    Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  • gnn-lspe

    Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

graph-deep-learning related posts

  • [R] Graph Neural Networks with Learnable Structural and Positional Representations

    2 projects | /r/MachineLearning | 18 Oct 2021

Index

What are some of the best open-source graph-deep-learning projects? This list will help you:

Project Stars
1 benchmarking-gnns 2,432
2 spektral 2,347
3 graphtransformer 804
4 gnn-lspe 223

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