bz99bz / M-3Links
a Large-Scale Multi-Modal Dataset Containing 20 Million Descriptions
☆45Updated 5 months ago
Alternatives and similar repositories for M-3
Users that are interested in M-3 are comparing it to the libraries listed below
Sorting:
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆202Updated 8 months ago
- Schedule for learning on graphs seminar☆109Updated last year
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- ☆29Updated last year
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆16Updated 9 months ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆124Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆257Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆227Updated last year
- Must-read papers on graph foundation models (GFMs)☆334Updated last week
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆124Updated 2 years ago
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆149Updated last year
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- ☆20Updated last year
- ☆14Updated 2 years ago
- Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]☆48Updated 10 months ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆35Updated 3 months ago
- Accompanied repositories for our paper Graph foundation model☆217Updated 9 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆28Updated 2 years ago
- A multi-backend graph learning library.☆241Updated last month
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- 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)☆42Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- ☆77Updated last year