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 ...

Single-repository quality gates are blind to distributed system failures. A pull request that changes a REST endpoint signature passes all local tests — but silently breaks three downstream consumers ...