Spectral analysis of graph-based structures examines the eigenvalues and eigenvectors of operators defined on graphs—most notably the graph Laplacian and adjacency matrix—to reveal fundamental ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Graph, social and multimedia data form three interlocking pillars of contemporary information science. Graph data represent entities and their pairwise connections in structures ranging from sparse ...