GraphXAI: Resource to support the development and evaluation of GNN explainers

Pretrained SMILES transformation model for finetuning for diverse molecular tasks.

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Must-read Papers on Knowledge Editing for Large Language Models.

Open source package for Survival Analysis modeling

Deep survival analysis made easy

Dementia (Alzheimer's Disease) Risk Prediction Tool based on UK Biobank

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

DeepSurv is a deep learning approach to survival analysis.

Survival analysis in Python

Survival analysis with PyTorch

Access share reviewed code & Jupyter Notebooks for use on the UK Biobank (UKBB) Research Application Platform. Includes resources from DNAnexus webinars, online trainings and workshops.

CLI tool to manage the download of large quantities of files from DNAnexus

DNAnexus platform client libraries

Codes for study of blood-based biomarker assay in AD

Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.

Autonomous characterization of molecular compounds from small datasets without descriptors

SA-MTL model for the Tox21 dataset

A beautiful, simple, clean, and responsive Jekyll theme for academics

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Global Counterfactual Explainer for Graph Neural Networks

Reproducing results from the SubgraphX paper including a full re-implementation of the SubgraphX algorithm in PyTorch-Geometric.

Implementation fo Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks