Alternatives and similar repositories for digraph_transformer

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

• hamed1375 / Exphormer
  Exphormer: Sparse Transformer for Graphs
  ☆187Updated last year
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆108Updated 4 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆159Updated last year
• google-research / graphworld
  ☆176Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆90Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 8 months ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆210Updated last week
• jw9730 / tokengt
  [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
  ☆341Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆33Updated 3 years ago
• kaidic / GST
  ☆22Updated last year
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆165Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆101Updated 2 years ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆133Updated 3 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆264Updated 3 years ago
• LUOyk1999 / DAGformer
  [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"
  ☆73Updated 4 months ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆164Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆82Updated 2 years ago
• CameronDiao / relational-transformer
  ☆33Updated 2 years ago
• jctops / understanding-oversquashing
  ☆41Updated 3 years ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆15Updated last year
• lucidrains / graph-transformer-pytorch
  Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
  ☆233Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 2 years ago
• DevinKreuzer / SAN
  ☆155Updated 4 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆124Updated last year
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆61Updated 3 years ago
• twitter-research / neural-sheaf-diffusion
  ☆80Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated 2 years ago