Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
Arango, the graph-native data platform for mission-critical applications and AI agents, today announced the opening of its expanded Cologne office. The larger space is designed for customers and ...
Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...
"Enterprises are moving analytics from answering questions to doing meaningful work," said Adi Elimelech, CTO and co-founder of Jedify. "With Data Agents, teams can build an analytical workforce ...
A new graph neural network method called MADPGraph combines relation-aware multi-head attention with adaptive dynamic pruning ...
Knowledge Graph now reaches from databases and Kubernetes to the user’s browser and phone, giving people and agents shared runtime context. Grafana Labs, the company behind the ...
Give AI agents the definitions you already trust. Knowledge Catalog ingests Looker, BigQuery, dbt, Snowflake, Databricks, and ...
This is the first in a series explaining the features announced at Team '26 Europe (October 6–8, 2026, in Amsterdam) one by ...
Bolster AI, a leader in AI-powered social engineering defense, today announced the launch of Threat Graph, a new capability ...
Ms. Greenhill's Research Journal No. 007Does increasing the time we spend thinking together help us solve problems better? If ...