A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Abstract: Programmable quantum systems utilizing Rydberg atoms have recently been shown to efficiently encode combinatorial optimization problems. The relationships among the variables in these ...

Abstract: Power system scheduling problems are solved repeatedly and require fast computation for real time deployment of asset setpoints. Bilevel optimization is often employed due to its ability to ...

Graph theory examines mathematical structures in which objects are represented as vertices connected by edges. It provides the language and tools to model networks in computer science, biology, social ...

Extremal graph theory seeks the largest or smallest structure a graph can exhibit under given constraints, typically by forbidding a particular subgraph. The classical Turán problem determines the ...