We research new and reliable ways of anticipating the technology needed for the next crisis, whatever that may be, and making it ready to adapt and deploy when the time comes.

Validation of the morphological fingerprint gene-gene similarities using knowledge graph and graph neural networks This repository hosts knowledge graph analysis scripts associated with our paper ...

Abstract: Advanced applications emerging from distributed cloud and edge computing and Fifth-generation and Beyond (B5G) networks increasingly require high-capacity, low-latency, and highly reliable ...

Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...

Bedti, Aghanashini Valley Conservation Committee has brought together religious institutions to scientists, legal experts, retired forest officers and activists to protest against the two diversion ...

An explosion of user-generated data from online social networks motivates analysis to extract deep insights from this data’s graph at scale, even of social, temporal, spatial, and topical connections.

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...