Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
AI has created new cybersecurity threats as well as solutions. Sentinel is now able to respond to threats more autonomously. Microsoft is capitalizing on the industry's period of transition. The rise ...
Abstract: Knowledge graph completion aims to predict missing entities or relationships in a knowledge graph, addressing the issue of data sparsity. In recent years, deep learning-based models, ...
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