Pinned Repositories
decagon
Graph convolutional neural network for multirelational link prediction
graphml-tutorials
Tutorials for Machine Learning on Graphs
GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
nimfa
Nimfa: Nonnegative matrix factorization in Python
PrimeKG
Precision Medicine Knowledge Graph (PrimeKG)
Raindrop
Graph Neural Networks for Irregular Time Series
SubGNN
Subgraph Neural Networks (NeurIPS 2020)
TDC
Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
UniTS
A unified multi-task time series model.
Artificial Intelligence for Medicine and Science @ Harvard's Repositories
mims-harvard/TDC
Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
mims-harvard/UniTS
A unified multi-task time series model.
mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction
mims-harvard/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
mims-harvard/PrimeKG
Precision Medicine Knowledge Graph (PrimeKG)
mims-harvard/Raindrop
Graph Neural Networks for Irregular Time Series
mims-harvard/GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
mims-harvard/TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
mims-harvard/scikit-fusion
scikit-fusion: Data fusion via collective latent factor models
mims-harvard/G-Meta
Graph meta learning via local subgraphs (NeurIPS 2020)
mims-harvard/Raincoat
Domain Adaptation for Time Series Under Feature and Label Shifts
mims-harvard/PINNACLE
Contextual AI models for single-cell protein biology
mims-harvard/GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
mims-harvard/SHEPHERD
SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases
mims-harvard/GNNDelete
General Strategy for Unlearning in Graph Neural Networks
mims-harvard/TimeX
Time series explainability via self-supervised model behavior consistency
mims-harvard/Clinical-knowledge-embeddings
Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine
mims-harvard/SPECTRA
SPECTRA: Spectral framework for evaluation of biomedical AI models
mims-harvard/PDGrapher
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
mims-harvard/fastGNMF
Fast graph-regularized matrix factorization
mims-harvard/scCIPHER
scCIPHER: Contextual deep learning on single-cell-enriched knowledge graphs in neurological disorders
mims-harvard/patient-safety
Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic
mims-harvard/nimfa-ipynb
IPython notebooks demonstrating Nimfa's functionality
mims-harvard/BMI702
Biomedical Artificial Intelligence
mims-harvard/Madrigal
Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
mims-harvard/metapaths
Similarity search in heterogeneous knowledge graphs using meta paths.
mims-harvard/mims-harvard.github.io
Lab website
mims-harvard/tdc2website-flask
flask implementation for tdc-2 website
mims-harvard/hydra-zen
Configurable, reproducible, and scalable Python programs, via Hydra
mims-harvard/PrimeKG-2.0
Precision Medicine Knowledge Graph (PrimeKG 2.0)