EDAPINENUT / CBGBench

Related projects: ⓘ

• baaihealth / OpenComplex
  Trainable PyTorch framework for developing protein, RNA and complex models.
  ☆257Updated 8 months ago
• EDAPINENUT / ppflow
  This repository is the official code source of PPFlow: Target-Aware Peptide Design with Torsional Flow Matching (ICML2024)
  ☆51Updated last week
• acharkq / MolCA
  Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".
  ☆71Updated 6 months ago
• blazerye / DrugAssist
  DrugAssist: A Large Language Model for Molecule Optimization
  ☆127Updated last month
• ZkKeith / gromacs_cp2k_singularity
  ☆39Updated this week
• MangoKiller / MolTC
  ☆220Updated 2 months ago
• zhichunguo / Meta-MGNN
  Few-Shot Graph Learning for Molecular Property Prediction
  ☆133Updated last year
• yueliu1999 / Dink-Net
  [ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
  ☆274Updated 8 months ago
• ShawXh / BTWalk
  Implementation of TKDE20 paper ''BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding''
  ☆25Updated last year
• XuhaoWan / DMCP
  ☆238Updated 4 months ago
• Lzcstan / DrugLAMP
  A PyTorch-based system for highly accurate drug-target interaction predictions utilizing multi-modal large language models to discern str…
  ☆32Updated 5 months ago
• qitianwu / SGFormer
  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
  ☆206Updated last month
• huzongxiang / MatDGL
  MatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the r…
  ☆63Updated last month
• KeithTab / Essay_For_Molecular_Generation
  ☆79Updated this week
• Bin-Cao / TCLRmodel
  TCLR is a tree model for distinguish the mechanisms of data | document https://tclr.netlify.app/
  ☆22Updated 8 months ago
• MasterAI-EAM / Darwin
  An open-source project dedicated to build foundational large language model for natural science, mainly in physics, chemistry and materia…
  ☆183Updated last month
• yzc2020 / MoleculeMachineLearning
  ☆96Updated this week
• MAGICS-LAB / SparseModernHopfield
  [NeurIPS 2023] On Sparse Modern Hopfield Model
  ☆55Updated 5 months ago
• luo-junyu / GALA
  ☆32Updated 10 months ago
• qitianwu / DIFFormer
  The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
  ☆291Updated last month
• pat-jj / KG-FIT
  Knowledge Graph Fine-Tuning with Open-World Knowledge
  ☆93Updated 2 months ago
• renshuangxia / DeepGRMF
  ☆13Updated 2 years ago
• yueliu1999 / HSAN
  [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
  ☆254Updated last year
• Jinjiarui / GraphANGEL
  Code for ICLR'22 "Inductive Relation Prediction Using Analogy Subgraph Embeddings"
  ☆28Updated last year
• yifengtao / genome-transformer
  Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
  ☆76Updated 4 years ago
• AlgoMole / MolCRAFT
  Implementation for ICML 2024 paper "MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space"
  ☆59Updated last month
• smiles724 / GNN-Bottleneck
  ☆38Updated last year
• Rich-XGK / GTMGC
  Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).
  ☆14Updated 5 months ago
• THUNLP-MT / MEAN
  This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
  ☆84Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆97Updated last year