Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...

Designing contract-driven software systems that evolve safely. Software Graph is an experimental systems initiative focused on treating APIs and service contracts as first-class graph assets. Instead ...

Abstract: Community detection in software dependency graphs is crucial for enhancing package recommendations, aiding project discovery, and improving software management. Traditional methods often ...

Vulnerability alerts and dependency updates haunt us these days, especially when they surface in user-facing dependencies. Obviously, we want to fix these issues as quickly as possible, though with ...