Logic provides a yardstick for reasoning about graph queries and graph constraints. Indeed, a promising line of research is the application of formal tools, such as model checking, theorem proving, 15 ...

Abstract: Processing-in-Memory (PIM) offers a promising architecture to alleviate the memory wall challenge in graph processing applications. The key aspect of PIM is to incorporate logic within the ...

This approach aims to evaluate the efficacy of the Graph of Thoughts (GoT) method in addressing logical reasoning problems. By integrating the power of GoT with symbolic logic parsing, this method ...

This theoretical paper aims to provide a probabilistic framework for graph signal processing. By modeling signals on graphs as Gaussian Markov Random Fields, we present numerous important aspects of ...

1 Natural Language Processing Lab, Department of Computer Science and Technology, Tsinghua University, Beijing, China; 2 Knowledge Technology Group, Department of Informatics, University of Hamburg, ...

Project of Semantic Data Management (SDM) Course for the Master in Data Science Program of Universitat Politècnica de Catalunya (UPC) This repository is focused on exploring distributed-graph ...