Specifically, GCN relies on the calculation of the adjacency matrix of the whole graph, and it is difficult to extend to large-scale graphs; GraphSage needs to perform multiple sampling and ...

and two large-scale human-to-human interaction datasets, i.e., NTU60-Interaction and NTU120-Interaction consistently verify the superiority of our proposed method, which outperforms the ...

To solve this problem, a key node identification model based on Graph Convolutional Networks (GCN), named KNIGCN ... effectively improve the identification speed of key nodes in large-scale, complex ...

For large-scale sparse graphs, nodes belonging to the same type may ... This paper applies two Deep GNN models, which are GCNII and DropEdge, to HDGCN and GCN. We use Adam SGD as an optimizer to train ...

Malaysia's Ministry of Energy Transition and Water Transformation (Petra) has announced an additional bidding round under its Large Scale Solar (LSS) program for the development of 2 GW of PV power.

Run large language models locally with Vast AI’s affordable GPU rentals. Flexible pricing, customizable VMs, and ...

TrueFoundry, a startup offering enterprises a platform to deploy compound AI systems at scale, as raised $19 million in a ...

The rise of LLMs offers consulting firms an unprecedented opportunity to amplify their value. But this opportunity demands ...

Living matter remains the quintessential puzzle of biological sciences, a question that embodies the intricate complexity and stunning diversity of life forms. A new study suggests that one viable ...

Energy industry's commitment to AI infrastructure development underscores the role of natural gas in meeting growing energy demand. Check out the companies in this space.