Graph embedding

In topological graph theory, an embedding (also spelled imbedding) of a graph on a surface is a representation of on in which points of are associated with vertices and simple arcs (homeomorphic images of ) are associated with edges in such a way that: the endpoints of the arc associated with an edge are the points associated with the end vertices of no arcs include points associated with other vertices, two arcs never intersect at a point which is interior to either of the arcs. Here a surface is a compact, connected -manifold. Informally, an embedding of a graph into a surface is a drawing of the graph on the surface in such a way that its edges may intersect only at their endpoints. It is well known that any finite graph can be embedded in 3-dimensional Euclidean space . A planar graph is one that can be embedded in 2-dimensional Euclidean space Often, an embedding is regarded as an equivalence class (under homeomorphisms of ) of representations of the kind just described. Some authors define a weaker version of the definition of "graph embedding" by omitting the non-intersection condition for edges. In such contexts the stricter definition is described as "non-crossing graph embedding". This article deals only with the strict definition of graph embedding. The weaker definition is discussed in the articles "graph drawing" and "crossing number". If a graph is embedded on a closed surface , the complement of the union of the points and arcs associated with the vertices and edges of is a family of regions (or faces). A 2-cell embedding, cellular embedding or map is an embedding in which every face is homeomorphic to an open disk. A closed 2-cell embedding is an embedding in which the closure of every face is homeomorphic to a closed disk. The genus of a graph is the minimal integer such that the graph can be embedded in a surface of genus . In particular, a planar graph has genus , because it can be drawn on a sphere without self-crossing. A graph that can be embedded on a torus is called a toroidal graph.

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Graph-based approximate message passing iterations

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Graph-based approximate message passing iterations