ChnQ / LLM4Mol
Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"
☆38Updated last year
Alternatives and similar repositories for LLM4Mol:
Users that are interested in LLM4Mol are comparing it to the libraries listed below
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆57Updated 11 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆32Updated 10 months ago
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆18Updated last year
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)☆43Updated last month
- [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…☆15Updated 4 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated last year
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated last month
- 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".☆22Updated last year
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆17Updated 7 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- ☆25Updated 6 months ago
- ☆49Updated 8 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated 10 months ago
- A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text☆23Updated 9 months ago
- ☆13Updated last year
- Part of official implementation of "Natural language-informed learning of molecule graphs"☆15Updated last year
- BioT5 (EMNLP 2023) and BioT5+ (ACL 2024 Findings)☆101Updated 4 months ago
- Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries☆41Updated 11 months ago
- Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).☆16Updated 10 months ago
- [RECOMB 2023] Official implementation of "Pisces: A combo-wise contrastive learning approach to synergistic drug combination prediction".☆14Updated last year
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆39Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆37Updated 7 months ago
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Updated 10 months ago
- Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning☆14Updated 3 months ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 5 months ago
- Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".☆12Updated last year
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆40Updated last year
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated last year
- ☆42Updated 9 months ago