For AI models, there are currently no safety rules that govern the path of actions, which can leads to unanticipated consequences.

Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Abstract: Federated Graph Learning (FGL) demonstrates tremendous potential in distributed graph data analysis and modeling. The rapid growth of graph data and the increasing awareness of privacy ...

Final consolidated archive for the Data Structures and Algorithms — Laboratory (Java) course. Includes hands-on implementations, lab materials, and indexed links to all topic repositories. Designed ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community byEScholar: Electronic Academic Papers for Scholars@escholar byEScholar: ...

The hype surrounding AI can seem relentless, yet practical considerations can feel thin on the ground. The 2023 Ultimate Artificial Intelligence & Automation Developer Bundle rectifies that with 13 ...

Data structure for dynamic connectivity in undirected graphs. Supports adding and removing edges and checking whether two vertices are connected (there's a path between them) in polylogarithmic time.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...