Alternatives and similar repositories for GIMLET

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

• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆38Updated last year
• ChnQ / LLM4Mol
  Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"
  ☆39Updated 2 years ago
• BingSu12 / MoMu
  ☆24Updated 2 years ago
• IDEA-XL / InstructMol
  InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)
  ☆49Updated 8 months ago
• syr-cn / ReLM
  [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.
  ☆22Updated last year
• ddz16 / MoMu
  The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".
  ☆29Updated 2 years ago
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• O-GNN / O-GNN
  ☆13Updated 2 years ago
• Fangyinfff / KCL
  Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
  ☆91Updated last year
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆61Updated 2 years 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…
  ☆21Updated 2 months ago
• liugangcode / GREA
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆45Updated 5 months ago
• Graph-COM / GESS
  Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
  ☆16Updated 7 months ago
• lsh0520 / 3D-MoLM
  ☆48Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆78Updated last year
• Graph-and-Geometric-Learning / MolGroup
  Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
  ☆19Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆124Updated 2 years ago
• yangzhao1230 / GraphTextRetrieval
  Part of official implementation of "Natural language-informed learning of molecule graphs"
  ☆18Updated 2 years ago
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆43Updated 2 years ago
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆15Updated 3 months ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆123Updated 2 years ago
• YangLing0818 / IRDiff
  [ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
  ☆32Updated 11 months ago
• GT4SD / multitask_text_and_chemistry_t5
  Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023
  ☆41Updated 11 months ago
• blender-nlp / MolT5
  Associated Repository for "Translation between Molecules and Natural Language"
  ☆181Updated last year
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• HICAI-ZJU / KANO
  Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
  ☆127Updated last year
• ChemFoundationModels / ChemLLMBench
  What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
  ☆157Updated last year
• QizhiPei / BioT5
  BioT5 (EMNLP 2023) and BioT5+ (ACL 2024 Findings)
  ☆118Updated 11 months ago
• phenixace / MolReGPT
  ☆51Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆126Updated last week