Alternatives and similar repositories for IPM_MPNN

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

• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆17Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated last year
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 2 months ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• ml-jku / VAG-CO
  ☆11Updated last year
• RPaolino / fLode
  ☆18Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 6 months ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆15Updated 11 months ago
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 3 years ago
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated last month
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆13Updated last year
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• opallab / Graph-Attention-Retrospective
  ☆11Updated 3 years ago
• uestc-lese / SPGRL
  ☆17Updated 2 years ago
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• cvignac / SMP
  ☆28Updated 3 years ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated last year
• Genentech / GraphGUIDE
  ☆12Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• RPaolino / loopy
  ☆9Updated 9 months ago
• JunwenBai / correlation-gnn
  Correlated Graph Neural Networks
  ☆27Updated 5 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated last year
• BenGutteridge / DRew
  ☆31Updated last year
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 5 years ago
• nec-research / Adaptive-Message-Passing
  Official Repository of Adaptive Message Passing
  ☆16Updated 3 weeks 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 2 years ago
• zekarias-tilahun / graph-surgeon
  A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Superv…
  ☆13Updated 3 years ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 2 years ago
• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆13Updated 10 months ago