ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach

K Sotiropoulos, L Zhao, PJ Liang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Given a complex graph database of node-and edge-attributed multi-graphs as well as
associated metadata for each graph, how can we spot the anomalous instances? Many real …
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[PDF][PDF] ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach

K Sotiropoulos, L Zhao, PJ Liang, L Akoglu - andrew.cmu.edu
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