Inspired by dynamic Graph neural networks, we propose a Group-aware Dynamic Graph Representation Learning (GDGRL) method for next POI recommendation. GDGRL connects different user sequences and ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

The ABA Center on Children and the Law and the Institute to Transform Child Protection are pleased to be holding the 2025 National Multidisciplinary Parent Representation Conference in St. Paul, ...

AI graphic design tools are restructuring the way artists and designers express their creativity, enabling them to craft more unique designs in significantly less time. Let's navigate through the top ...

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...

There is no way we can get rid of the proportional representation (PR) system, he continued. Proportionality is one of our great achievements. Our democracy is an inclusive democracy. There can be no ...

While the jumps have been getting smaller and smaller between generations, there’s always a nice graphical bump to look forward to when picking up the latest gaming consoles. The PlayStation 5 ...

To tackle these challenges, we propose a novel framework called AISFuser to i) encode unique maritime traffic network into graphical representations, and ii) introduce the heterogeneity into ...

The MA Graphic Communication course recognises exciting new directions in the ever-diversifying professional industry and offers you the chance to explore these through your own practice. Whether your ...

Graph condensation (GC) is a data-centric approach that accelerates GNN model training by creating a compact yet representative graph to replace the original graph. It enables GNNs trained on the ...