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 ...

However, the existing graph neural ... maintaining the representation capability. The experiment used three literature citation network datasets of Cora, Citeseer and PubMed, and we published the ...

The Ministry of Defence has published its UK Armed Forces Biannual Diversity Statistics for October 2024, showing key trends in gender and ethnic minority representation across the military. These ...

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 ...

"We’re pretty close to an election and the prime minister has made a call to promote three quality women and this sets as an example for ... ve now got equal representation in the cabinet.” ...

Furthermore, we design a novel Interaction-Aware Transformer (IAT) to dynamically learn the graph-level representation of social behaviours and update the node-level representation, guided by our ...

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 ...