Abstract: Graph searchable encryption (GSE) for shortest path queries allows users to discover the closest connection between two individuals in encrypted social network graphs, while safeguarding ...
Abstract: Since the emergence of Graph Neural Networks (GNNs), researchers have extensively investigated training on large-scale GNN training because of their success and wide usage in various domains ...
A high-performance flocking simulation using a C++ physics engine exposed to Python via pybind11. This project implements Craig Reynolds' boid algorithms with significant optimizations, including ...
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