Alternatives and similar repositories for sparsification

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

• snap-stanford / neural-subgraph-learning-GNN
  ☆366Updated last year
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆87Updated 7 months ago
• amazon-science / tgl
  ☆217Updated 2 years ago
• facebookresearch / shaDow_GNN
  [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…
  ☆137Updated 3 years ago
• loukasa / graph-coarsening
  Multilevel graph coarsening algorithm with spectral and cut guarantees
  ☆91Updated 5 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…
  ☆144Updated last year
• rusty1s / pyg_autoscale
  Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
  ☆166Updated 3 years ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆221Updated last week
• GraphPKU / I2GNN
  official code for I2GNN.
  ☆13Updated 2 years ago
• young917 / www21-hyperlap
  WWW21 - How Do Hyperedges Overlap
  ☆20Updated last year
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆246Updated 4 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆84Updated 2 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆33Updated 3 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 5 years ago
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆72Updated 4 years ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆169Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆88Updated 3 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 5 years ago
• radoslav11 / SP-MPNN
  Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
  ☆25Updated 3 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆98Updated 3 years ago
• szzhang17 / Scaling-Up-Graph-Neural-Networks-Via-Graph-Coarsening
  Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"
  ☆28Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆163Updated 2 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆104Updated 4 years ago
• muhanzhang / NestedGNN
  ☆57Updated 4 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆53Updated last year
• KarypisLab / PM4GNN
  Graph partitioning for distributed GNN training
  ☆14Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 3 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago
• LUOyk1999 / DAGformer
  [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"
  ☆76Updated 8 months ago