GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

A new graph neural network method called MADPGraph combines relation-aware multi-head attention with adaptive dynamic pruning ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

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 ...

Aveva, a global leader in industrial software, has announced its participation at Adipec 2026 to be held in Adnec Centre Abu ...

Pretty much anything you have in a tab can get the Copilot layer on top with your local AI, turning the entire vault into ...

Give AI agents the definitions you already trust. Knowledge Catalog ingests Looker, BigQuery, dbt, Snowflake, Databricks, and ...

"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 ...

Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...

This is the first in a series explaining the features announced at Team '26 Europe (October 6–8, 2026, in Amsterdam) one by ...

Graphs have long intrigued computer scientists for the elegant way they store connected information. But getting high ...

When comparing figures and tables, you may sometimes look for where the same product is listed. In this article, we will use ...