Search Results for author:
Found 2 papers, 2 papers with code
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method
To this end, we propose CSCLog, a Component Subsequence Correlation-Aware Log anomaly detection method, which not only captures the sequential dependencies in subsequences, but also models the implicit correlations of subsequences.
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
Therefore, neighbor aggregation-based representation learning (NARL) models are proposed, which encode the information in the neighbors of an entity into its embeddings.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
