Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

With the WoW Midnight alpha in full swing, a lot of images and videos have come out of the different housing neighborhoods, but it can be tricky to tell exactly which plot you’d like to call home ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Biological systems are rarely made up of siloed processes. Whether in the interplay of factors influencing gene expression, the balance of consumers and producers in food webs, or the interactions ...

Human-caused global warming has been increasing faster and faster since the 1970s. Global average temperature compared with the middle of the 20th century 2010 to present +1.0°C 1970 to The world is ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like user preferences, past conversations, and ...

1 College of Computer Science and Engineering, Changsha University, Changsha, Hunan, China 2 Department of Information and Computing Science, College of Mathematics, Changsha University, Changsha, ...