Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...

Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Abstract: Knowledge transfer among multiple networks, using predicted probabilities or intermediate-layer activations, has evolved significantly through extensive manual design, ranging from simple ...

applying attention mechanism on temporal dimension of dynamic knowledge graph - ldu-nvidia/Attention-based-heterogeneous-temporal-knowledge-graph ...

Main Result: After proper hyperparameter tuning, temporal attention outperforms RNN on validation metrics, supporting our hypothesis that attention over historical states captures richer temporal ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...

1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...