Agentic AI is transforming Indian businesses. These autonomous systems can plan and execute tasks independently. For this to work, reliable data is crucial. Connected data architectures, like ...

The rise of generative AI and intelligent knowledge systems is eroding the dominance of static precedent-building.

AI agents need enterprise context to produce reliable results. New developments unveiled at Atlassian's recent conference point to open knowledge graphs and libraries of how-to skills providing that ...

Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.

Learn how Neo4j and n8n simplify knowledge graphs for smarter data insights. Build AI-driven graphs for customer data and document navigation ...

Abstract: As the application of knowledge graphs becomes increasingly widespread, the issue of knowledge graph incompleteness has garnered significant attention. As a classical type of non-euclidean ...

Abstract: Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors.