A multi-task scheme with synthetic anomalies from graph perturbations and two-phase training learns robust features for weakly supervised graph anomaly detection, outperforming competitors on public datasets.
Birds of a feather: Homophily in social networks
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An opinion-action coevolution model converges to consensus or clustering if its induced interaction digraph stabilizes in finite time.
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Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection
A multi-task scheme with synthetic anomalies from graph perturbations and two-phase training learns robust features for weakly supervised graph anomaly detection, outperforming competitors on public datasets.
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On the Convergence of an Opinion-Action Coevolution Model with Bounded Confidence
An opinion-action coevolution model converges to consensus or clustering if its induced interaction digraph stabilizes in finite time.