Le Zhang

Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding

2021

Conventional knowledge graph embedding methods mainly assume that all entities at reasoning stage are available in the original training graph. But in real-world application scenarios, newly emerged entities are always inevitable, which results in the …

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

2022 · arXiv (Cornell University)

Time series anomaly detection strives to uncover potential abnormal behaviors and patterns from temporal data, and has fundamental significance in diverse application scenarios. Constructing an effective detection model usually requires adequate training data stored in …