Alternatives and similar repositories for Theories-of-Graph-Neural-Networks

Users that are interested in Theories-of-Graph-Neural-Networks are comparing it to the libraries listed below

• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆89Updated last year
• BenGutteridge / DRew
  ☆31Updated last year
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 6 months ago
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆13Updated 11 months ago
• toenshoff / LRGB
  ☆21Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆81Updated 6 months ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆81Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆42Updated last month
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆87Updated last year
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆55Updated last year
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆42Updated 2 years ago
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆37Updated last year
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆20Updated last year
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• RPaolino / fLode
  ☆18Updated last year
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 2 years ago
• GRAPH-0 / GraphGDP
  Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
  ☆27Updated 2 years ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆123Updated 5 months ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆58Updated last month
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆70Updated last year
• Graph-COM / PEG
  ☆41Updated 2 years ago
• GraphPKU / BREC
  ☆22Updated 11 months ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 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 2 years ago
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆15Updated 2 weeks ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated last year