Alternatives and similar repositories for M-3

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

• JHL-HUST / LMSPS
  Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks
  ☆17Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆211Updated 11 months ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• leffff / graphormer-pyg
  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
  ☆161Updated last month
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated 2 years ago
• Lucius-lsr / AdapterGNN
  ☆32Updated last year
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆18Updated last year
• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆57Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆128Updated 2 years ago
• BorgwardtLab / SAT
  Official Pytorch code for Structure-Aware Transformer.
  ☆262Updated 2 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆126Updated 2 years ago
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆62Updated 2 years ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆356Updated 3 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆239Updated last year
• junxia97 / awesome-pretrain-on-molecules
  [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
  ☆535Updated 2 years ago
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆23Updated 2 years ago
• kanz76 / SSI-DDI
  ☆32Updated 4 years ago
• seijimaekawa / GenCAT
  Source code of attributed graph generator
  ☆11Updated 2 years ago
• LUMIA-Group / Cluster-wise-Graph-Transformer
  Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)
  ☆14Updated last year
• MIRALab-USTC / GNN-LMC
  The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…
  ☆47Updated 2 years ago
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆101Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆129Updated 3 months ago
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆178Updated 2 years ago
• Blair1213 / TIGER
  [AAAI24]Transformer-based relation-aware graph representation learning framework for DDI prediction
  ☆16Updated last year
• yjwtheonly / MolAE
  Official implementation of paper: MolAE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective (icml 2024)
  ☆12Updated last year
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆29Updated 2 years ago
• yanliang3612 / awesome-imbalanced-learning-on-graphs
  A repository contains a collection of resources and papers on Imbalance Learning On Graphs
  ☆94Updated 6 months ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated 2 years ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆153Updated 9 months ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year