zhao-ht / GIMLETLinks
The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
☆61Updated 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?"☆38Updated last year
- ☆22Updated 2 years ago
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)☆47Updated 6 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆27Updated last year
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆21Updated last year
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Part of official implementation of "Natural language-informed learning of molecule graphs"☆18Updated last year
- ☆46Updated last year
- ☆31Updated 11 months ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 2 weeks ago
- ☆13Updated 2 years ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated 5 months ago
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆42Updated last year
- Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries☆44Updated 2 months ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆32Updated last year
- ☆50Updated last year
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆20Updated 11 months ago
- Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023☆40Updated 8 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- [ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation☆26Updated 9 months ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆42Updated 2 months ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆122Updated last year
- [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…☆19Updated 9 months ago
- The official implementation of dual-view molecule pre-training.☆41Updated 3 years ago
- [ICML 2023] FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning☆21Updated 7 months ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆31Updated last year