Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Solana (SOL) has established itself as one of the popular Layer 1 blockchains. In contrast, Little Pepe (LILPEPE) is an ...

The credit quality of the high yield bond market has improved substantially since its inception, particularly after the Great ...