Alternatives and similar repositories for Graphormer:

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

• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆118Updated last year
• leffff / graphormer-pyg
  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
  ☆143Updated 11 months ago
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆14Updated 4 months ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• Zhankun-Xiong / MRCGNN
  Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…
  ☆15Updated last month
• kanz76 / SSI-DDI
  ☆27Updated 3 years ago
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆114Updated last year
• lihan97 / KPGT
  codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
  ☆105Updated 6 months ago
• linjc16 / R2-DDI
  [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".
  ☆13Updated last year
• UnHans / HimGNN
  The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…
  ☆17Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆40Updated 3 weeks ago
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆19Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆76Updated last year
• ZangXuan / HiMol
  ☆23Updated 2 years ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆118Updated 3 months ago
• guaguabujianle / SA-DDI
  ☆19Updated last year
• Blair1213 / TIGER
  [AAAI24]Transformer-based relation-aware graph representation learning framework for DDI prediction
  ☆11Updated last year
• ahu-bioinf-lab / AMGDTI
  A Network Integration Approach for Drug-Target Interaction Prediction
  ☆13Updated 6 months ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆42Updated 10 months ago
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆61Updated 2 years ago
• agave233 / GeomGCL
  Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".
  ☆21Updated 2 years ago
• Lucius-lsr / AdapterGNN
  ☆29Updated last year
• pyli0628 / MPG
  ☆46Updated last year
• microsoft / Drug-Interaction-Research
  ☆85Updated last year
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆25Updated 2 years ago
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆34Updated 2 years ago
• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆43Updated 3 years ago
• Vencent-Won / SGGRL
  The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".
  ☆41Updated 3 months ago
• catly / SGCL-DTI
  ☆3Updated 2 years ago
• GRAPH-0 / CDGS
  Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
  ☆33Updated last year