MIT's Infinite Corridor is a beloved and magical place where breakthroughs happen by accident - a physicist and a biologist cross paths, exchange half-formed ideas over coffee, and six months later a ...

tl;dr: We provably improve GNN expressivity by enhancing message passing with substructure encodings. Our method allows incorporating domain specific prior knowledge and can be used as a drop-in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The processing of chemical information by computational intelligence methods faces the ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurately modeling chemical reactions in molecular dynamics simulations requires ...

Abstract: The rise of graph analytic systems has created a need for ways to measure and compare the capabilities of these systems. Graph analytics present unique scalability difficulties. The machine ...

Control flow graphs (CFGs) generated through a dynamic or emulated approach contain many benefits over statically generated CFGs such as yielding smaller, more well connected, and less noisy graphs.

The alternative text for this image may have been generated using AI. MolE uses Graph Isomorphism Networks (GINs) for representation learning and introduces the non-contrastive Barlow-Twins ...

Abstract: Conventional intent-driven networks (IDNs) rely on static templates to translate declarative intents into imperative network configurations. However, the dynamic nature of network ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Control flow graphs (CFGs) and function call graphs (FCGs) have become pivotal in providing a detailed understanding of program execution and effectively characterizing the behaviour of malware. These ...