It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential, they ...

The algorithm is unsupervised and takes into account only the matching scores generated by multiple algorithms for creating a consensus of results. Further, we show how the graph theoretic problem can ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

D. M. Cvetković, L. L. Kraus, S. K. Simić, DISCUSSING GRAPH THEORY WITH A COMPUTER I. IMPLEMENTATION OF GRAPH THEORETIC ALGORITHMS / RAZGOVOR SA KOMPJUTEROM O TEORIJI GRAFOVA I. IMPLEMENTACIJA ...

The primary goals of any frequent pattern mining algorithm are to reduce the number of candidates generated and tested as well as number of scan of database required and scan the database as small as ...