Alternatives and similar repositories for graph-walker

Users that are interested in graph-walker are comparing it to the libraries listed below

• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆232Updated 2 weeks ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆142Updated 5 months ago
• VHRanger / CSRGraph
  A tiny library for larger graphs
  ☆118Updated 10 months ago
• facebookresearch / SEAL_OGB
  An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
  ☆235Updated 2 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated last month
• krishnanlab / PecanPy
  A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec
  ☆164Updated this week
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆83Updated 11 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆81Updated 2 years ago
• saibalmars / GraphRicciCurvature
  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
  ☆256Updated last year
• twitter-research / feature-propagation
  ☆83Updated 3 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆96Updated last year
• google-research / graphworld
  ☆176Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆191Updated last year
• snap-stanford / neural-subgraph-learning-GNN
  ☆355Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated last year
• pbielak / pytorch_geometric_edge
  Edge representation learning library
  ☆26Updated 2 years ago
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆142Updated 6 months ago
• dmlc / GNNLens2
  Visualization tool for Graph Neural Networks
  ☆253Updated 2 years ago
• chrsmrrs / tudataset
  ☆95Updated 2 years ago
• Ashish7129 / Graph_Sampling
  Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
  ☆162Updated 4 years ago
• louisabraham / fastnode2vec
  Fast and scalable node2vec implementation
  ☆95Updated 2 years ago
• DeepGraphLearning / NBFNet
  Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆220Updated 2 years ago
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆282Updated this week
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆60Updated 5 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• 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
• pykeen / ilpc2022
  🏅 KG Inductive Link Prediction Challenge (ILPC) 2022
  ☆85Updated 3 years ago
• FraLotito / higher-order-motifs
  Code for the paper "Higher-order motif analysis in hypergraphs"
  ☆31Updated 3 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated last year
• loukasa / graph-coarsening
  Multilevel graph coarsening algorithm with spectral and cut guarantees
  ☆90Updated 5 years ago