Alternatives and similar repositories for Graph-Attention-Retrospective

Users that are interested in Graph-Attention-Retrospective are comparing it to the libraries listed below

• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 4 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated 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 8 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• TAU-MLwell / Set-Tree
  Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)
  ☆10Updated 3 years ago
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆14Updated last year
• SwiftieH / SpGAT
  Spectral Graph Attention Network with Fast Eigen-approximation
  ☆12Updated 3 years ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆21Updated last year
• chrsmrrs / SpeqNets
  ☆11Updated 2 years ago
• RPaolino / fLode
  ☆18Updated last year
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆40Updated 2 years ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆20Updated last year
• 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
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• twitter-research / neural-sheaf-diffusion
  ☆80Updated 2 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated 2 years ago
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆83Updated 2 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆81Updated 4 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago