Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …

Constraint-based approaches recently brought new insight into our understanding of
metabolism. By making very simple assumptions such as that the system is at steady-state …

In graph theory, the hypergraph [22] extends the traditional graph structure by allowing
edges toconnect multiple vertices, and this concept is further broadened by the …

Bitcoin exchanges operate between digital and fiat currency networks, thus providing an
opportunity to connect real-world identities to pseudonymous addresses, an important task …

In traffic systems, traffic forecasting is a critical issue, which has attracted much interest from
researchers. It is a challenging task due to the complex spatial‐temporal patterns of traffic …

As data structures and mathematical objects used for complex systems modeling,
hypergraphs sit nicely poised between on the one hand the world of network models, and on …

Signaling pathways function as the information-passing mechanisms of cells. A number of
databases with extensive manual curation represent the current knowledge base for …

Knowledge representation (KR) is an important subject in artificial intelligence and cognitive
science. Generally speaking, it is the approach to store explicit knowledge about a particular …

Quantitativeapproachesforsolvingproductio… problems in industry have gained growing
importance in the past years. Due to the increasinguse of AdvancedPlanningSystems, a …

As software projects grow increasingly more complex, debloating gains traction. While static
analyses yield a coarse over-approximation of reachable code, approaches based on …