Graph Neural Networks (GNNs) have become a powerful tool for processing graph-structured data. However, real-world data often faces the problem of label noise and sparsity, which will greatly affect ...

Graph neural networks (GNNs) witness impressive performances on homophilic graphs characterized by a higher number of edges connecting nodes of similar class labels. A decline in the performance of ...

kafka graph graph-algorithms nosql stream-processing graph-database kafka-streams cypher graph-analysis streaming-data opencypher Updated 9 minutes ago C++ ...