Alternatives and similar repositories for GraphGUIDE

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

• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 3 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 7 months ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆61Updated 3 years ago
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆17Updated 3 years ago
• AdrianArnaiz / DiffWire
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…
  ☆19Updated 2 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆40Updated 9 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated 2 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• youjibiying / GTOT-Tuning
  Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
  ☆24Updated 3 years ago
• toenshoff / LRGB
  ☆22Updated last year
• LingxiaoShawn / Pard
  Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
  ☆20Updated 11 months ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆15Updated 6 months ago
• ispamm / MATE
  MetA-Train to Explain
  ☆18Updated 3 years ago
• jctops / understanding-oversquashing
  ☆41Updated 3 years ago
• kilianhae / discrete_DPPM_Graphs
  Diffusion Models for Graphs Benefit From Discrete State Spaces
  ☆33Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 2 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 4 years ago
• SDS-Lab / ROT-Pooling
  Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)
  ☆16Updated last year
• 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
  ☆36Updated last year
• RPaolino / fLode
  ☆18Updated last year
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆35Updated 3 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆42Updated last year
• DavideBuffelli / SAME
  Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…
  ☆18Updated 3 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago