Alternatives and similar repositories for LLM4Mol:

Users that are interested in LLM4Mol are comparing it to the libraries listed below

• syr-cn / ReLM
  [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.
  ☆19Updated last year
• zhao-ht / GIMLET
  The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  ☆59Updated last year
• IDEA-XL / InstructMol
  InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)
  ☆45Updated 3 months ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆34Updated last year
• syr-cn / ReactXT
  [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…
  ☆17Updated 6 months ago
• ddz16 / MoMu
  The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".
  ☆25Updated last year
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• Namkyeong / CGIB
  The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
  ☆40Updated last year
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆61Updated 2 years ago
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆19Updated last year
• phenixace / MolReGPT
  ☆49Updated 9 months ago
• liugangcode / Data-Centric-Transfer
  [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…
  ☆19Updated last year
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• Graph-COM / GESS
  Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
  ☆16Updated 2 months ago
• kimsu55 / ToxExpert
  ☆13Updated 2 years ago
• NYUSHCS / MolecularGPT
  ☆28Updated 8 months ago
• lsh0520 / 3D-MoLM
  ☆42Updated 11 months ago
• cnedwards / text2mol
  Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries
  ☆43Updated last year
• eltociear / MolCA
  Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".
  ☆12Updated last year
• yangzhao1230 / GraphTextRetrieval
  Part of official implementation of "Natural language-informed learning of molecule graphs"
  ☆16Updated last year
• lvkd84 / GraphFP
  Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)
  ☆19Updated 9 months ago
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆113Updated last year
• BingSu12 / MoMu
  ☆21Updated 2 years ago
• Rich-XGK / GTMGC
  Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).
  ☆16Updated 11 months ago
• SCIR-HI / ArtificiallyR2R
  Repository for AAAI 2024 paper "From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecu…
  ☆22Updated last year
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆41Updated last year
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year
• SCIR-HI / MolTailor
  Repository for AAAI 2024 paper "MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts"
  ☆22Updated 11 months ago
• linjc16 / R2-DDI
  [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".
  ☆13Updated last year