Dijkstra's algorithm has long been the quickest way of finding the shortest possible paths in a network, but researchers have ...

Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...

Abstract: Link prediction on temporal networks aims to predict the future edges by modeling the dynamic evolution involved in the graph data. Previous methods relying on the node/edge attributes or ...

Abstract: Given a large graph, such as a social network or a knowledge graph, a fundamental query is how to find the distance from a source vertex to another vertex in the graph. As real graphs become ...