Denoising Knowledge Graphs for Retrieval Augmented Generation(DEG-RAG)

AlphaFold 3 inference pipeline.

A Survey of Learning from Graphs with Heterophily

Official repository of EnzymeFlow

Official repository of ReactZyme

This repository contains the resources on graph neural network (GNN) considering heterophily.

[Neurips 2024] Disentangled Graph Homophily

Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"

A PyTorch Implementation of Skipper

PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"

Production build of the new website

Papers about developing DL methods on disassortative graphs

Course assignments completed as part of ECBM 6040 - Neural Networks and Deep Learning Course

Public facing notes page