This study proposes a novel context-aware knowledge graph (CKG) framework to enhance traffic speed forecasting by effectively modeling spatial and temporal contexts.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

The agentic AI solution, known internally as Weave, launched alongside a model benchmarking tool called LLM-IQ. It was built from the ground up using data sourced from carriers and operators to create ...

In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural networks ...

Enter Subgraph Studio, a powerful gateway for developers to access blockchain data. The Graph has now expanded its capabilities by integrating with Swell Network, making it easier than ever to build ...

Today’s Leading DeFi Tokens by Market Activity: The Graph, EigenLayer, Uniswap, and 1inch Network show strong growth and innovation in DeFi.

A new product will establish the graph-based industry standard for secure, orchestrated access to APIs in the age of AI… so says Apollo GraphQL, a graph-based API orchestration company.

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the ...

Additionally, knowledge graphs have achieved breakthroughs in intelligent maritime supervision. The literature [16] introduces a semantic network method based on knowledge graphs to detect illegal ...

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation (WWW-2025). This is a PyTorch implementation of the GraphATA algorithm, which tries to address the ...