Framework for temporal edge regression using advanced Graph Neural Network architectures. Experiment I did while writing my BSc theoretical thesis on Graph Neural Networks. Status: completed.
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Updated
Jun 27, 2025 - Python
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edge-regression
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Molecular Graphs Node/Edge-level Regression GNN
python machine-learning deep-learning cheminformatics pytorch rdkit graph-convolutional-networks graph-neural-networks pytorch-geometric gnn molecular-graphs molecular-property-prediction chemical-informatics node-regression molecular-graph-neural-networks edge-regression node-edge-regression rdkit-rdkit-chem
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Apr 3, 2025 - Python
A custom taxonomy-driven GraphSAGE framework for population-scale POI co-visitation prediction. Features multi-modal node/edge embeddings integrating NAICS business classification taxonomy, deep edge regression pipelines, and advanced loss function optimization for extreme class imbalance.
geometric-deep-learning mobility-modeling graph-neural-networks applied-ai pytorch-geometric gnn edge-regression taxonomy-driven-graphsage naics-embeddings
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Updated
Jun 2, 2026 - Python
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