Top 7 Jupyter Notebook graph-neural-network Projects
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ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
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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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geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
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netsci-labs
(In progress) Network science laboratories. Covers graph theory, random graphs and ML on graphs
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite | /r/MachineLearning | 2023-12-11Github: github.com/tumaer/lagrangebench arXiv: arxiv.org/abs/2309.16342
Jupyter Notebook graph-neural-networks related posts
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Gentle Introduction to Geometric Graph Neural Networks
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Meet Graphein: a Python Library for Geometric Deep Learning and Network Analysis on Protein Structures and Interaction Networks
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My network science / ML on graphs notebooks
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[Discussion] which NN architecture is best suitable for analysing the structural data of biomolecules
Index
What are some of the best open-source graph-neural-network projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | benchmarking-gnns | 2,432 |
2 | ktrain | 1,212 |
3 | graphein | 986 |
4 | geometric-gnn-dojo | 422 |
5 | indaba-pracs-2022 | 172 |
6 | lagrangebench | 49 |
7 | netsci-labs | 13 |
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