Graph contrastive learning (GCL) has been subject to more attention and widely applied numerous graph tasks such as node classification link prediction. Although it achieved great success even performed better than supervised methods in some tasks, most of them depend on node-level comparison, while ignoring the rich semantic information contained topology, especially for social networks. Howev...

This paper will describe experiences gained while programming several pattern recognition algorithms in the languages ALGOL, FORTRAN, PL/l and PASCAL. The algorithms discussed are for boundary encodings of twodimensional binary pictures, calculating and exploring the minimum spanning tree for a set of points, recognizing dotted curves from a set of planar points and performing a template matchi...