Subgraph matching, which involves identifying a query graph within a larger data graph, is a fundamental problem that has applications in various fields.Although graph neural networks (GNNs) are commonly used in learning-based subgraph matching, they face challenges due to their convolution process.Specifically, GNNs generate new node features by a
Objective: Abortion related procedures contribute to a significant economic burden because it resulted in prolonged hospital stays for patients.We aimed to gather available evidence on the economic burden of abortion and post-abortion complication treatment cares worldwide.Materials and methods: PubMed, Web of Science, Scopus, and Embase databases
Femur head avascular necrosis appears in a way, manifests itself in the form of self-healing or worsening, and finally, due to the long-term permanent damage appeared, it can lead to a Cargo Trousers point where serious surgical interventions are inevitable.In the current literature, a number of experimental and clinical studies, which were done wi
In superconducting quantum processors, the Organza predictability of device parameters is of increasing importance as many laboratories scale up their systems to larger sizes in a 3-D-integrated architecture.In particular, the properties of superconducting resonators must be controlled well to ensure high-fidelity multiplexed readout of qubits.Here