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
Abstract Traditional neural network models of associative memories were used to store and retrieve static patterns.We develop reservoir-computing based 92-95 civic k-swap mounts memories for complex dynamical attractors, under two common recalling scenarios in neuropsychology: location-addressable with an index channel and content-addressable witho
Abstract: An absentee land is one of the pieces of land for a Land Reform Object Tanah needed for distribution.Data of lands derived from absentee lands have not been available up to the present moment.The government needs to publish a policy to identify and enlist the above mentioned absentee lands.Those lands can be identified by Maps on Land Own
Abstract Rapeseed (Brassica napus L.) inflorescence coverage is a crucial phenotypic parameter for assessing crop growth and estimating yield.Accurate crop cover assessment is typically performed using Unmanned Aerial Vehicles (UAVs) in combination with semantic segmentation methods.However, the irregular and variable morphology of rapeseed inflore