GeneralDyG combines ego-graph sampling, an alternating node/edge GNN, and a transformer to detect anomalies in dynamic graphs, reporting strong results on four benchmarks, though the claimed generalizability is not actually tested.
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A Generalizable Anomaly Detection Method in Dynamic Graphs
GeneralDyG combines ego-graph sampling, an alternating node/edge GNN, and a transformer to detect anomalies in dynamic graphs, reporting strong results on four benchmarks, though the claimed generalizability is not actually tested.