Awesome-Biomolecule-Language-Cross-Modeling: a curated list of resources for paper "Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey"

Notes on single-cell Hi-C technologies, tools, and data

Accompanied repositories for our paper Graph foundation model

Papers about Structure-based Drug Design (SBDD)

A repository contains a collection of resources and papers on Imbalance Learning On Graphs

Contrastive learning harmonizing protein language models and natural language models

A Python script to map PDB ID + chain ID to UniProt ID.

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

Papers about graph transformers.

Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).

BERN2: an advanced neural biomedical namedentity recognition and normalization tool

GEOM: Energy-annotated molecular conformations

Awesome literature on imbalanced learning on graphs

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

PyTorch implementation of Contrastive Learning methods

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A general-purpose neural semantic parser for mapping natural language queries into machine executable code