@article {18547,
	title = {Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings},
	journal = {IJCNN 2018 : International Joint Conference on Neural Networks},
	year = {2018},
	month = {07/2018},
	author = {Zambon, Daniele and Livi, Lorenzo and Alippi, Cesare}
}
@article {18545,
	title = {Concept Drift and Anomaly Detection in Graph Streams},
	journal = {IEEE Transactions on Neural Networks and Learning Systems},
	volume = {29},
	issue = {11},
	year = {2018},
	month = {11/2018},
	pages = {5592-5605},
	chapter = {5592},
	author = {Zambon, Daniele and Alippi, Cesare and Livi, Lorenzo}
}
@conference {18542,
	title = {Detecting changes in sequences of attributed graphs},
	booktitle = {2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
	year = {2017},
	month = {Nov},
	keywords = {Aerospace electronics, Anomaly detection, application domains, Attributed graph, attributed graphs, Change detection, Concept drift, Dynamic/Evolving graph, Electronic mail, Embedding, geometric graphs, Graph matching, graph theory, graph-based representations, Markov chains, Markov processes, Microsoft Windows, pair-wise relations, Prototypes, real-world systems, Stationarity, topology, Training, variable order},
	doi = {10.1109/SSCI.2017.8285273},
	author = {Zambon, Daniele and Livi, Lorenzo and Alippi, Cesare}
}
