Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...
Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...
Blast Radius introspects your real AWS infrastructure, builds a dependency graph, and uses AI to predict the downstream impact of a proposed change — before you make it. Unlike tools that guess based ...
Contracts are extracted automatically from each PR via GitHub webhook. 2. Dependency Graph Engine A directed graph (NetworkX) where edges represent service-to-service API consumption with per-edge ...
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