I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Repository files navigation Java Graph Data Structure – Flight & Tour Pathfinding Implementing my own graph data structure This project implements a custom Graph Data Structure in Java to solve two ...
The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...
Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...
1 College of Telecommunications and Intelligent Manufacturing, Sias University, Zhengzhou, Henan, China 2 Henan Intelligent Manufacturing Digital Twin Engineering Research Center, Zhengzhou, Henan, ...
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