Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines
Embeddings to Network Alignment - align biological networks between two species
Evaluate a strategy for predicting cancer-related proteins in PPI networks.
Python 3 library implementing a number of topological clustering techniques used on protein-protein interaction networks.
Graph representation for system biology networks and the reduction of them for machine learning purposes
Ensemble learning with graph neural networks for disease module discovery and classification
This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data.
Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
Gene expression analysis approaches using knowledge graph of Protein-Protein Interaction from STRING database
Add a description, image, and links to the ppi-networks topic page so that developers can more easily learn about it.
To associate your repository with the ppi-networks topic, visit your repo's landing page and select "manage topics."