Alternatives and similar repositories for M-3

Users that are interested in M-3 are comparing it to the libraries listed below

• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆50Updated 10 months ago
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆19Updated last year
• JHL-HUST / LMSPS
  Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks
  ☆17Updated 9 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆205Updated 8 months ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated 2 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆124Updated 2 years ago
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆61Updated 2 years ago
• junxia97 / awesome-pretrain-on-molecules
  [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
  ☆533Updated 2 years ago
• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆214Updated 2 years ago
• kimsu55 / TopExpert
  ☆14Updated 2 years ago
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆125Updated 2 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• seijimaekawa / GenCAT
  Source code of attributed graph generator
  ☆11Updated 2 years ago
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆259Updated 2 years ago
• leffff / graphormer-pyg
  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
  ☆151Updated last year
• xzenglab / MUFFIN
  ☆25Updated 3 years ago
• Lucius-lsr / AdapterGNN
  ☆29Updated last year
• linjc16 / R2-DDI
  [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".
  ☆13Updated last year
• kanz76 / SSI-DDI
  ☆29Updated 4 years ago
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆23Updated last year
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆28Updated 2 years ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated 2 years ago
• Blair1213 / TIGER
  [AAAI24]Transformer-based relation-aware graph representation learning framework for DDI prediction
  ☆15Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆337Updated last month
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆127Updated last month
• twelfth-star / CS224W-Winter2023
  斯坦福 CS224W（2023 Winter）的中文笔记、作业与Colab | Chinese notes, homwork and colabs of Stanford CS224W (2023 Winter)
  ☆44Updated 2 years ago
• Zehong-Wang / Awesome-Foundation-Models-on-Graphs
  A collection of graph foundation models including papers, codes, and datasets.
  ☆107Updated 2 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆167Updated 2 years ago
• chao1224 / GraphMVP
  Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
  ☆198Updated 3 years ago
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆165Updated 2 years ago