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 10 months ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆100Updated 2 years ago
• GuillaumeDD / gowpy
  A very simple library for exploiting graph-of-words in NLP
  ☆12Updated 4 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated last year
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆19Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated last year
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆16Updated last year
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 4 years ago
• benedekrozemberczki / PDN
  The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
  ☆58Updated 2 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆90Updated 2 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated last year
• GiulioRossetti / Eva
  Eva: Community Discovery for Labeled Graphs (networkx implementation)
  ☆14Updated 3 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆47Updated 4 years ago
• tbonald / paris
  Hierarchical graph clustering
  ☆38Updated 6 years ago
• funket / pysbm
  A Python Package for Stochastic Block Model Inference
  ☆38Updated 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…
  ☆64Updated 3 years ago
• sisaman / NPGLM
  Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
  ☆18Updated 3 years ago
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• dobraczka / kiez
  🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
  ☆25Updated last year
• nphdang / GE-FSG
  Graph Embedding via Frequent Subgraphs
  ☆45Updated 5 years ago
• hypergraphlab / Hypergraph-Tutorial
  ☆59Updated 9 months ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆79Updated 3 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆56Updated 3 years ago
• Yquetzal / tnetwork
  ☆15Updated last year
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆68Updated last week
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆51Updated 2 years ago
• hetio / hetmatpy
  Python package for matrix storage and operations on hetnets
  ☆14Updated 2 years ago
• pbloem / kgbench-data
  A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader
  ☆25Updated 2 years ago
• GTmac / FastRP
  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
  ☆57Updated 5 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago