Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...

Extracting knowledge by performing computations on graphs is becoming increasingly challenging as graphs grow in size. A standard approach distributes the graph over a cluster of nodes, but performing ...

Abstract: Enhancing pre-training models based on knowledge graphs is an emerging technique used to handle knowledge-intensive tasks. In the latest research presented at EMNLP 2021, an approach to ...

Abstract: Power distribution networks are rapidly evolving into large-scale, highly complex, and topologically variable active distribution networks (ADNs). In such ADNs, voltage issues are serious ...