Alternatives and similar repositories for stellar-practical-ml-on-graphs:

Users that are interested in stellar-practical-ml-on-graphs are comparing it to the libraries listed below

• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated 9 months ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆99Updated 2 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆56Updated 3 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆57Updated last year
• benedekrozemberczki / PDN
  The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
  ☆58Updated 2 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆47Updated 4 years ago
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆19Updated 2 years ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 4 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆77Updated 3 years ago
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆50Updated 2 years ago
• chrsmrrs / tudataset
  ☆94Updated last year
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 4 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆65Updated 3 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• ferencberes / online-centrality
  Temporal Walk Based Centrality Metric for Graph Streams
  ☆14Updated 2 years ago
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆76Updated 4 years ago
• GiulioRossetti / Eva
  Eva: Community Discovery for Labeled Graphs (networkx implementation)
  ☆14Updated 3 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆65Updated 3 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆60Updated last year
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆66Updated 2 years ago
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆15Updated last year
• linafaik08 / graph_neural_networks
  ☆31Updated 2 years ago
• snap-stanford / miner-data
  ☆63Updated 5 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated 11 months ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• dobraczka / kiez
  🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
  ☆25Updated 11 months ago
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆39Updated 3 years ago