Software
Multi-Dictionary Tensor Decomposition [ICDM’23]
[Citation:] M. McNeil and P. Bogdanov, “Multi-Dictionary Tensor Decomposition”, IEEE International Conference on Data Mining (ICDM), 2023
CADENCE: Detection of dynamic network states [SDM’23]
[Matlab Code] [Slides] [Poster]
[Citation:] M. McNeil, C. Mattsson, F. W. Takes and P. Bogdanov, “CADENCE: Community-aware Detection Of Dynamic Network States”, SIAM International Conference on Data Mining (SDM), 2023
GIST: Graph Inference for Structured Time Series [SDM’23]
[Matlab Code] [Slides] [Poster]
[Citation:] B. Ma, M. McNeil and P. Bogdanov, “GIST: Graph Inference for Structured Time Series”, SIAM International Conference on Data Mining (SDM), 2023
Ag-DNA Nanocluster Design via VAEs [KDD’22]
[Citation:] F. Moomtaheen, M. Killeen, J. Oswald, A. Gonzàlez-Rosell, P. Mastracco, A. Gorovits, S. Copp, and P. Bogdanov, “DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders”, SIGKDD, 2022
SAGA: Signal-Aware Graph Aggregation [SDM’22]
[Citation:] Maxwell McNeil, Boya Ma and Petko Bogdanov. “SAGA: Signal-Aware Graph Aggregation.” SIAM DM, Online, 2022
Temporal Graph Signal Decomposition (TGSD) [KDD’21]
[Citation:] Maxwell McNeil, Lin Zhang and Petko Bogdanov. “Temporal Graph Signal Decomposition.” ACM International Conference on Knowledge Discovery and Data Mining, Online, 2021
Mining Bursty Groups from Interaction Data (MYRON) [CIKM’21]
[Citation:] Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos Papalexakis and Petko Bogdanov. “Mining Bursty Groups from Interaction Data.” ACM CIKM, 2021
DSL [SDM’19]
DSL: Matlab code for graph signal classification.
[Citation:] Lin Zhang and Petko Bogdanov. “DSL: Discriminative Subgraph Learning via Sparse Self-Representation.” SIAM Data Mining, Calgary, Canada, 2019
PERCeIDS [ICDM’19]
PERCeID: Matlab code for periodic communities.
[Citation:] Lin Zhang, Alexander Gorovits, and Petko Bogdanov. “PERCeIDs: PERiodic CommunIty Detection.” IEEE ICDM, Beijing, China, 2019
LARC [KDD’18]
LARC Dynamic overlapping communities
[Citation:] Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov. “LARC: Learning Activity-Regularized Overlapping Communities Across Time.” ACM SIG KDD, London, UK, 2018
Dynamic Community Mining, [ICDM’17]
[Citation:] Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov. “Local Community Detection in Dynamic Networks.” IEEE International Conference on Data Mining (ICDM), New Orleans, USA, 2013
Silver cluster stablizing DNA template design tool, [J. Advanced Materials’14]
Stacy Copp, Petko Bogdanov, Mark Debord, Ambuj Singh, and Elisabeth Gwinn. “Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning.” Journal of Advanced Materials, 2014
Anomalous Regions in Dynamic Networks [SDM’13]
NetSpot source and executable
[Citation:] Misael Mongiovi, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, and Christos Faloutsos. “NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.” Proceedings of SIAM International Conference on Data Mining (SDM).
Diverse Clique Mining, [PKDD’13]
[Citation:] Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, and Ambuj K. Singh. “As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs.” Proceedings of Machine Learning and Knowledge Discovery in Databases - European Conference (ECML/PKDD), 2013
Mining Heavy Subgraphs in Time-Evolving Networks [ICDM’11]
MEDEN source and executable
[Citation:] Petko Bogdanov, Misael Mongiovi, and Ambuj K. Singh. “Mining Heavy Subgraphs in Time-Evolving Networks.” In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2011.