Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Abstract— The underwater environment presents many challenges for robotic sensing including highly variable lighting, the presence of dynamic objects, and the six degree of freed...
Massively parallel distributed-memory architectures are receiving increasing attention to meet the increasing demand on processing power. Many topologies have been proposed for int...
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Abstract. To model real-life critical systems, one needs“high-level”languages to express three important concepts: complex data structures, concurrency, and real-time. So far, ...