DATAQUEST

Why AI success hinges on knowledge infrastructure and operational discipline

Straive CEO Ankor Rai on why GenAI pilots fail, and how content readiness, governance, and HITL models enable ...
Frontiers

Large Language Models for Knowledge-Intensive Domains: Methods, Systems, and Evaluation

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
IEEE

Spacecraft Fault Inference based on Multi-source and Multi-level Knowledge Graphs

Abstract: This paper classifies spacecraft fault knowledge graphs into two categories based on fault knowledge sources and system structure levels: data-driven and knowledge-driven fault knowledge ...
IEEE

Distill to Delete: Unlearning in Graph Networks With Knowledge Distillation

Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.