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, ...
Abstract: As an important part of data innovation, organizations are tempted to join forces in pooling their data and performing analytics so as to have better insight of market, and higher capability ...
The Federal Government has commenced a comprehensive personnel audit and skills gap analysis across Ministries, Departments and Agencies (MDAs) as part of efforts to strengthen data integrity, improve ...
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