chendiqian / IPM_MPNN

Related projects: ⓘ

• FilippoMB / Total-variation-graph-neural-networks
  Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
  ☆20Updated 7 months ago
• ml-jku / VAG-CO
  ☆11Updated 9 months ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆15Updated 9 months ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆39Updated 3 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆12Updated last year
• opallab / Graph-Attention-Retrospective
  ☆11Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• RPaolino / fLode
  ☆15Updated 9 months ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆22Updated 10 months ago
• gravins / dynamic_graph_benchmark
  The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
  ☆12Updated 2 months ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆19Updated 2 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆22Updated 11 months ago
• Genentech / GraphGUIDE
  ☆13Updated last year
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆23Updated 4 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated 9 months ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆21Updated 3 years ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆30Updated 2 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 3 years ago
• DiffEqML / tutorials
  ☆10Updated 2 years ago
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆19Updated 4 months ago
• toenshoff / LRGB
  ☆20Updated 5 months ago
• saleml / continuous-gfn
  ☆19Updated last year
• cvignac / SMP
  ☆25Updated 2 years ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆16Updated last year
• StatsDLMathsRecomSys / Generative-Graph-Convolutional-Network-for-Growing-Graphs
  ☆12Updated 4 years ago