THUDM / IGBLinks
Source code and dataset for IJCAI 2022 paper "Rethinking the Setting of Semi-supervised Learning on Graphs"
☆10Updated 3 years ago
Alternatives and similar repositories for IGB
Users that are interested in IGB are comparing it to the libraries listed below
Sorting:
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated 2 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- A novel template-free retrosynthesizer that can generate diverse sets of reactants for a desired product via discrete conditional variati…☆15Updated 3 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆65Updated last year
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆209Updated 3 years ago
- ☆27Updated 2 weeks ago
- This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data☆378Updated 6 months ago
- 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
- [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models☆534Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- ☆16Updated 3 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆128Updated 2 years ago
- This is the code of paper "De Novo Molecular Generation via Connection-aware Motif Mining". Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu…☆57Updated last year
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆150Updated 10 months ago
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆55Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- [RECOMB 2023] Official implementation of "Pisces: A combo-wise contrastive learning approach to synergistic drug combination prediction".☆14Updated 2 years ago
- ☆15Updated 2 years ago
- ☆25Updated 4 years ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago
- ☆24Updated 3 years ago
- ☆156Updated 4 years ago
- ☆356Updated last year
- [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts☆99Updated 2 years ago
- PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"☆55Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 11 months ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆39Updated 2 years ago
- This repository contains a PyTorch implementation of the paper "Hierarchical Graph Representation Learning for the Prediction of Drug-Tar…☆12Updated 3 years ago