Sofia in late March was colder than anyone packed for. The 67th edition of The IT Press Tour had landed in the Bulgarian ...
Abstract: Dynamic Graph Neural Networks (GNNs) combine temporal information with GNNs to capture structural, temporal, and contextual relationships in dynamic graphs simultaneously, leading to ...
Abstract: Blockchain phishing scams cause billions in annual losses, yet extreme data imbalance severely hampers existing detection algorithms. Current dynamic graph generation methods fragment ...
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...
BOSTON--(BUSINESS WIRE)--Tufin, the leader in network security posture management, today announced its strategy for Agentic Network Security, positioning the company as the foundational control layer ...
Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...