As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
It has been revealed that simply twisting and stacking two layers of oxide crystals can allow the atomic arrangement itself ...
Microsoft is upgrading Copilot with M365 Graph integration to deliver, improved memory controls, and deeper personalization.
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: Transformer-based video generation models have demonstrated significant potential in content creation. However, the current state-of-the-art model employing “ 3 D full attention” encounters ...
Abstract: A knowledge graph (KG) is a form of representing knowledge of the objective world. With the expansion of knowledge, KGs frequently incorporate new entities, which often possess limited ...
Expert pattern trader reveals top 5 seasonal patterns of Q1 with high probability returns. Focus on Tapestry Inc. for 192% ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results