BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

The one tutorial and 22 papers in this special issue focus on geometry and random graph for the analysis and design of wireless networks. The papers are organized into five groups: Topology; Outage, ...

This work concerns the analysis and design of distributed first-order optimization algorithms over time-varying graphs. The goal of such algorithms is to optimize a global function that is the average ...

These examples demonstrate the framework’s capability to explain empirical phenomena, guide parameter choices, and inspire future work in LLM-based algorithm design. In-depth methodology explores the ...

Using this type of analysis as a yardstick has led to the design of several k-mer data structures that perform well on real data and are included in broadly used software. 1,2,4,11,37,48 In one ...

Google's Knowledge Graph algorithm currently updates every 2 to 3 weeks, affecting 60-80% of entities. Here's what SEOs need to know.