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Name: Artificial Intelligence for Medicine and Science @ Harvard
Type: Organization
Twitter: marinkazitnik
Location: Harvard
Name: Artificial Intelligence for Medicine and Science @ Harvard
Type: Organization
Twitter: marinkazitnik
Location: Harvard
Biomedical Artificial Intelligence
Gene prioritization by compressive data fusion and chaining
Collective pairwise classification for multi-way (multi-relational) data analysis
Prioritizing network communities
Short Course on Data Mining at University of Pavia
Graph convolutional neural network for multirelational link prediction
Fast graph-regularized matrix factorization
Network inference by fusing data from diverse distributions
Graph meta learning via local subgraphs (NeurIPS 2020)
General Strategy for Unlearning in Graph Neural Networks
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Tutorials for Machine Learning on Graphs
GraphXAI: Resource to support the development and evaluation of GNN explainers
Configurable, reproducible, and scalable Python programs, via Hydra
Evolution of protein interactomes across the tree of life
Jumping across biomedical contexts using compressive data fusion
Similarity search in heterogeneous knowledge graphs using meta paths.
Lab website
Network-guided matrix completion
Nimfa: Nonnegative matrix factorization in Python
IPython notebooks demonstrating Nimfa's functionality
OhmNet: Representation learning in multi-layer graphs
Disease pathways in the human interactome
Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Contextual AI models for single-cell protein biology
Precision Medicine Knowledge Graph (PrimeKG)
Precision Medicine Knowledge Graph (PrimeKG 2.0)
Domain Adaptation for Time Series Under Feature and Label Shifts
Graph Neural Networks for Irregular Time Series
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.