heterogeneous graphs

Anomaly Detection in Continuous-Time Temporal Provenance Graphs

Recent advances in Graph Neural Networks (GNNs) have matured the field of learning on graphs, making GNNs essential for prediction …

Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt