A GNN-based video anomaly detector adapts its knowledge graph on-device through token-embedding updates, pruning, and node creation, avoiding cloud-based graph regeneration as anomaly types change.
Soft computing techniques-based digital video forensics for fraud medical anomaly detec- tion,
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Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning
A GNN-based video anomaly detector adapts its knowledge graph on-device through token-embedding updates, pruning, and node creation, avoiding cloud-based graph regeneration as anomaly types change.