zhao-ht / GIMLET
The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
☆52Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for GIMLET
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆38Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆30Updated 8 months ago
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery☆41Updated 3 weeks ago
- Papers about Molecular Machine Learning (MoML) given its human language textual description☆69Updated 3 months ago
- ☆19Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆60Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆20Updated last year
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆18Updated 9 months ago
- Part of official implementation of "Natural language-informed learning1 of molecule graphs"☆13Updated last year
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆21Updated last year
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- ☆41Updated 7 months ago
- Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries☆37Updated 9 months ago
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆40Updated last year
- [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…☆14Updated 2 months ago
- BioT5 (EMNLP 2023) and BioT5+ (ACL 2024 Findings)☆96Updated 2 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆17Updated 8 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆39Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆30Updated last year
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆31Updated 7 months ago
- ☆13Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆35Updated 5 months ago
- NeurIPS24: Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization☆11Updated this week
- What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks☆127Updated 3 months ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆13Updated 5 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆40Updated last year
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆22Updated 3 months ago
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆35Updated 2 months ago
- The official implementation of dual-view molecule pre-training.☆39Updated 3 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆102Updated last year