Alternatives and similar repositories for FEATHER

Users that are interested in FEATHER are comparing it to the libraries listed below

• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆56Updated 3 years ago
• benedekrozemberczki / RolX
  An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
  ☆70Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated last year
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆48Updated 4 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆81Updated 9 months ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 6 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆132Updated 4 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆97Updated 4 years ago
• benedekrozemberczki / PDN
  The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
  ☆58Updated 2 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆43Updated 2 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 2 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆89Updated 4 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆69Updated 2 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• benedekrozemberczki / BoostedFactorization
  An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
  ☆36Updated 2 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated last year
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆27Updated last year
• daiquocnguyen / Walk-Transformer
  From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
  ☆42Updated 3 years ago
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• benedekrozemberczki / GraRep
  A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
  ☆65Updated 2 years ago
• dkaslovsky / GraphRole
  Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
  ☆87Updated 10 months ago
• benedekrozemberczki / resolutions-2019
  A list of data mining and machine learning papers that I implemented in 2019.
  ☆21Updated 5 years ago
• TUM-DAML / pprgo_pytorch
  PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆126Updated 3 years ago
• benedekrozemberczki / M-NMF
  An implementation of "Community Preserving Network Embedding" (AAAI 2017)
  ☆121Updated 2 years ago
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆16Updated 4 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated last year
• 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