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This is the offical code of the paper "Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model"

Python 18 2 Updated May 2, 2025

Research language for array processing in the Haskell/ML family

Haskell 1,619 110 Updated Jan 25, 2025
Python 12 5 Updated Dec 2, 2024

Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

Mathematica 97 10 Updated Mar 27, 2025

Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)

Jupyter Notebook 158 5 Updated Mar 24, 2025

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [CVPR 2023]

Python 13 2 Updated Sep 23, 2023

[TOIS24] Denoising Heterogeneous Graph Pre-training Framework for Recommendation

Python 4 Updated Dec 6, 2024

Parameterized Explainer for Graph Neural Network

Jupyter Notebook 132 16 Updated Feb 23, 2024

Explainability methods employed for the DeepFRI protein function algorithm

Python 1 2 Updated May 5, 2024

[NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"

Python 20 3 Updated Nov 24, 2024

Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction"

Python 28 2 Updated Feb 8, 2025

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

Jupyter Notebook 499 46 Updated May 22, 2024
Jupyter Notebook 7 1 Updated Dec 3, 2024
Python 7 4 Updated Mar 31, 2025

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Python 656 70 Updated May 13, 2021

MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning

Python 142 7 Updated Jul 2, 2023

Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

Python 25 1 Updated May 28, 2025
Python 8 Updated Sep 27, 2023

Insights into the inner workings of transformer models for protein function prediction

Python 14 2 Updated Feb 9, 2024

Every Hop Etched in Memory: Tokenized Graph Mamba Meets Directed Graph Learning

Python 1 Updated Apr 2, 2025

Retrieved Sequence Augmentation for Protein Representation Learning

Python 52 3 Updated Nov 1, 2023

Official implementation of HEGNN, a novel high-degree equivariant graph neural network proposed in the NeurIPS 2024 paper 'Are High-Degree Representations Really Unnecessary in Equivariant Graph Ne…

Python 18 1 Updated Nov 8, 2024

A list of recent papers about Link Prediction.

89 2 Updated May 30, 2025

[EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs

Python 22 Updated Apr 6, 2025

Open source implementation of "Vision Transformers Need Registers"

Python 177 15 Updated Apr 6, 2025

[TNNLS 2025] TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Python 199 16 Updated Apr 22, 2025

ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

Jupyter Notebook 73 12 Updated May 10, 2024

[ISMB '24] Self-BioRAG: Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

Python 63 8 Updated Apr 4, 2024
Python 8 2 Updated Jul 17, 2024

Model for predicting micro-millisecond motions from protein sequence and/or structure

Jupyter Notebook 52 7 Updated Mar 25, 2025
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