Analysis algorithms and aggregate results for the study of gastrointestinal disease history and subsequent anemia. CHARLS is the primary longitudinal cohort; ELSA and CLHLS provide longitudinal ...

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no ...

Until now, selecting quantum optimisation algorithms relied on trial and error, choosing mixers based more on what’s easy to ...

It is now taken for granted that car navigation systems and map apps can instantly show us the shortest route to our ...

The data scientist Lauren Leek says predictive algorithms are flattening the everyday world, from pub menus to pop lyrics.

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

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

Researchers have developed an exact fixed-parameter algorithm and a fast heuristic for deciding whether undirected ...

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

Why some tables should never exist: how a data engine cuts copies, memory use, and wasted CPU, from node-to-node access to ...

This research introduces quantum graph networks for max-clique detection, overcoming trainability issues with compositional ...

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