Alternatives and similar repositories for GSSC

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

• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆129Updated 4 months ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆67Updated 7 months ago
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆80Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆28Updated 3 years ago
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆14Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆103Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆50Updated last year
• harryjo97 / GruM
  Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
  ☆36Updated last year
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆62Updated 3 years ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker (ICLR 2025)
  ☆38Updated 6 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆167Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆40Updated last year
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆90Updated 2 years ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• BenGutteridge / DRew
  ☆32Updated 2 years ago
• LingxiaoShawn / Pard
  Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
  ☆22Updated last year
• qslim / PDF
  Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  ☆13Updated 2 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆56Updated 2 years ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".
  ☆91Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆92Updated 2 years ago
• GRAPH-0 / GraphGDP
  Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
  ☆31Updated 3 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆163Updated 2 years ago
• Amanda-Zheng / GNNEvaluator
  Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"
  ☆19Updated last year
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆41Updated 3 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆78Updated 3 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆54Updated 11 months ago
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆23Updated 2 years ago