Alternatives and similar repositories for NumGraph

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

• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆83Updated last year
• twitter-research / feature-propagation
  ☆84Updated 3 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• ShichangZh / GStarX
  [NeurIPS 2022] Explaining Graph Neural Networks with Structure-Aware Cooperative Games (GStarX)
  ☆13Updated 2 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆82Updated 2 years ago
• a-lucic / cf-gnnexplainer
  ☆61Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆46Updated last year
• gravins / Anti-SymmetricDGN
  Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…
  ☆14Updated 8 months ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆114Updated 3 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆40Updated 3 years 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 6 months ago
• stadlmax / Graph-Posterior-Network
  Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
  ☆43Updated 2 years ago
• AaltoPML / PINT
  ☆19Updated 2 years ago
• yandex-research / structural-graph-shifts
  New structural distributional shifts for evaluating graph models
  ☆15Updated last year
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 years ago
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 2 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆105Updated 2 months ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated last year
• RXPHD / Lazy_GNN
  LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023
  ☆13Updated last year
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated last year
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆68Updated 3 years ago
• ComplexData-MILA / TGX
  Temporal Graph Analysis with TGX
  ☆26Updated 4 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆236Updated last month
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• c-hofer / graph_filtration_learning
  ☆22Updated 4 years ago
• jianhao2016 / GPRGNN
  ☆135Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year