Graph convolutional networks (GCNs) excel in skeleton-based action recognition by modelling human body skeletons as spatiotemporal graphs. In current GCN-based approaches, the graph topology is ...

If 2023 and 2024 were the years NVIDIA set the pace for AI acceleration, 2025 is shaping up to be the year AMD answers back ...

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

IEEE Spatial Web Vice-Chair George Percivall explains how the new Spatial Web standards could build agentic AI systems that ...

Polar Partition: A vertex partition in which each part meets specific structural constraints, such as inducing complete multipartite subgraphs under given limitations. Graph Partitioning and ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Graph partitioning active contours (GPAC) is a recently introduced approach that elegantly embeds the graph-based image segmentation problem within a continuous optimization framework. GPAC can be ...

Flocking simulation using Spatial Partitioning and Dynamic Boids Number algorithm. simulation boids spatial-partitioning flocking-simulation. Updated Jan 18, 2025; JavaScript; AlexanderNeo427 / Octree ...

Add support for partition-based parallel event processing in Graph Node, allowing events from the same contract to be processed in parallel based on a developer-defined partition key, while ...