Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
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Updated
Jun 20, 2024 - Python
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
Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
Ensemble learning with graph neural networks for disease module discovery and classification
Python 3 library implementing a number of topological clustering techniques used on protein-protein interaction networks.
Embeddings to Network Alignment - align biological networks between two species
Graph representation for system biology networks and the reduction of them for machine learning purposes
Evaluate a strategy for predicting cancer-related proteins in PPI networks.
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