- awesome-graph-classification VS pytorch_geometric_temporal
- awesome-graph-classification VS PDN
- awesome-graph-classification VS GraphGPS
- awesome-graph-classification VS euler
- awesome-graph-classification VS GAT
- awesome-graph-classification VS GEM
- awesome-graph-classification VS karateclub
- awesome-graph-classification VS SpectralEmbeddings
- awesome-graph-classification VS graphsense
Awesome-graph-classification Alternatives
Similar projects and alternatives to awesome-graph-classification
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pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
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karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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SpectralEmbeddings
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better awesome-graph-classification alternative or higher similarity.
awesome-graph-classification discussion
awesome-graph-classification reviews and mentions
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Stats
Basic awesome-graph-classification repo stats
1
4,785
1.0
about 2 years ago
benedekrozemberczki/awesome-graph-classification is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.
The primary programming language of awesome-graph-classification is Python.
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