Alternatives and similar repositories for Graphormer

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

• leffff / graphormer-pyg
  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
  ☆154Updated last year
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆46Updated last year
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆125Updated 2 years ago
• microsoft / Drug-Interaction-Research
  ☆89Updated 2 years ago
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆259Updated 2 years ago
• kanz76 / SSI-DDI
  ☆30Updated 4 years ago
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆55Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated 2 years ago
• Zhankun-Xiong / MRCGNN
  Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…
  ☆18Updated 8 months ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆218Updated 2 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆130Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆129Updated 2 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆45Updated 6 months ago
• davidbuterez / edge-set-attention
  Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper
  ☆69Updated last week
• kanz76 / GMPNN-CS
  ☆28Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆80Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆126Updated 2 years ago
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆224Updated 11 months ago
• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆89Updated 4 years ago
• Zora-LM / MHGNN-DTI
  ☆20Updated last year
• DongqiFu / VCR-Graphormer
  VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
  ☆14Updated last year
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆16Updated 5 months ago
• Lucius-lsr / AdapterGNN
  ☆31Updated last year
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆20Updated last year
• deepfindr / gvae
  ☆99Updated 3 years ago
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆49Updated 10 months ago
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆29Updated 2 years ago
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆96Updated last year
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆19Updated last year