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 ...
Abstract: This work introduces a generalization of the leader–first follower (LFF) graph structure for solving the bearing-only formation control problem on directed graphs. The first contribution ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results