Awesome papers about unifying LLMs and KGs

External repo for the EFAAR benchmarking paper

Code for reproducing results from CELLULAR

CELLULAR: CELLUlar contrastive Learning for Annotation and Representation

Message Passing Neural Networks for Molecule Property Prediction

Predicting PROTAC protein degradation activity via machine learning.

DeepDelta is a pairwise deep learning approach based on Chemprop that processes two molecules simultaneously and learns to predict property differences between two molecules.

Introduction tutorial and examples for Alvis

COATI: multi-modal contrastive pre-training for representing and traversing chemical space

Transformer for One-Stop Interpretable Cell-type Annotation

Phenexplain source code

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Cell Painting Gallery

High-Resolution Image Synthesis with Latent Diffusion Models

Templates for use in preparing articles for the Living Journal of Computational Molecular Sciences (LiveCoMS)

Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"

Augmented Memory and Beam Enumeration implementation

Implementation of GraphINVENT for Parkinson Disease drug discovery