zhao-ht / GIMLETLinks
The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
☆63Updated last year
Alternatives and similar repositories for GIMLET
Users that are interested in GIMLET are comparing it to the libraries listed below
Sorting:
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆39Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year
- ☆24Updated 3 years ago
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆22Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)☆50Updated 10 months ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated 2 years ago
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆29Updated 2 years ago
- ☆14Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆46Updated 7 months ago
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆43Updated 2 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆126Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated 9 months ago
- ☆48Updated last year
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- [ICML 2023] FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning☆21Updated last year
- Part of official implementation of "Natural language-informed learning of molecule graphs"☆18Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆125Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆21Updated 4 months ago
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆29Updated 4 months ago
- Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries☆46Updated 7 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆44Updated 2 years ago
- [ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation☆32Updated last year
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆43Updated last year
- ☆51Updated last year
- The official implementation of dual-view molecule pre-training.☆42Updated 3 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆130Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆34Updated 2 years ago
- [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…☆22Updated last year