Alternatives and similar repositories for SpectralEmbeddings

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

• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆68Updated 3 years ago
• benedekrozemberczki / PDN
  The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
  ☆58Updated 2 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆109Updated 4 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 2 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 4 years ago
• chrsmrrs / tudataset
  ☆96Updated 2 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆43Updated 2 years ago
• daiquocnguyen / Walk-Transformer
  From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
  ☆42Updated 4 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆63Updated 2 years ago
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆126Updated last year
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆49Updated 2 years ago
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 4 years ago
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆41Updated 3 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆101Updated 3 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• TrustAGI-Lab / graph-deep-learning
  This repository summarises the open source codes of our group
  ☆27Updated 2 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated 2 years ago
• moranbel / tdGraphEmbed
  ☆21Updated 2 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
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆35Updated 4 years ago
• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆69Updated last year
• predict-idlab / RR-GCN
  Code for "R-GCN: The R Could Stand for Random"
  ☆37Updated 2 years ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆133Updated 3 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…
  ☆54Updated 2 years ago