A company that provides Graph Intelligence and AI platform that specializes in analyzing complex data relationships in real-time is seeking a high-energy, self-starting Senior Full Stack Developer to ...

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Extensive knowledge graphs (KGs) have been constructed to facilitate knowledge-driven tasks across various scenarios. However, existing work usually develops separate reasoning models for different ...

A company that provides Graph Intelligence and AI platform that specializes in analyzing complex data relationships in real-time is seeking a high-energy, self-starting Senior Full Stack Developer to ...

Geneva, Switzerland, January 26th, 2026, FinanceWireArkham, a leading blockchain analytics platform; CoinDesk Data, the ...

Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...