Alternatives and similar repositories for NeuralWalker

Users that are interested in NeuralWalker 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)
  ☆103Updated 2 years ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆63Updated 2 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆163Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆47Updated 11 months ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆100Updated last year
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆65Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆86Updated 10 months ago
• LFhase / GALA
  [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
  ☆22Updated 11 months ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated last year
• harryjo97 / GruM
  Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
  ☆34Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆127Updated 8 months ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated 2 years ago
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆16Updated last year
• caio-freitas / GraphARM
  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
  ☆38Updated 6 months ago
• GraphMamba / GMN
  ☆118Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆65Updated last year
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆45Updated last year
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆131Updated 3 years ago
• Graph-COM / GSSC
  [Preprint] Graph State Space Convolution (GSSC)
  ☆13Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆52Updated 6 months ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆59Updated 2 years ago
• GRAPH-0 / GraphGDP
  Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
  ☆29Updated 2 years ago
• Namkyeong / CGIB
  The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
  ☆43Updated 2 years ago
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆44Updated 2 years ago
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆41Updated 3 years ago