Valejo A, Althoff P, Faleiros T, Filho G, Zhu Y, Yan J, Liu W and Zhao L. Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks. IEEE Transactions on Network Science and Engineering. 10.1109/TNSE.2023.3331655. 11:2. (1799-1809).

https://ieeexplore.ieee.org/document/10317091/

dos Santos N, Minatel D, Valejo A and de A. Lopes A. (2024). Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 10.1007/978-3-031-49018-7_42. (589-604).

https://link.springer.com/10.1007/978-3-031-49018-7_42

Zhao H, Zhang X, Wang Y, Diao Z, Li Y and Xie G. Improving the Scalability of Distributed Network Emulations: An Algorithmic Perspective. IEEE Transactions on Network and Service Management. 10.1109/TNSM.2023.3287030. 20:4. (4325-4339).

https://ieeexplore.ieee.org/document/10153980/

Zheng Y, Jia C and Li X. (2023). A multi-level generative framework for community detection in attributed networks. Journal of Complex Networks. 10.1093/comnet/cnad020. 11:3. Online publication date: 21-Apr-2023.

https://academic.oup.com/comnet/article/doi/10.1093/comnet/cnad020/7191805

Jatschka T, Rodemann T and Raidl G. A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning. Evolutionary Computation in Combinatorial Optimization. (50-65).

https://doi.org/10.1007/978-3-031-30035-6_4

Valejo A, Fabbri R, de Andrade Lopes A, Zhao L and de Oliveira M. (2022). Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. Frontiers in Research Metrics and Analytics. 10.3389/frma.2022.855165. 7.

https://www.frontiersin.org/articles/10.3389/frma.2022.855165/full

Ayall T, Liu H, Zhou C, Seid A, Gereme F, Abishu H and Yacob Y. Graph Computing Systems and Partitioning Techniques: A Survey. IEEE Access. 10.1109/ACCESS.2022.3219422. 10. (118523-118550).

https://ieeexplore.ieee.org/document/9938438/

Lombardi F and Onofri E. (2022). Graph Contraction on Attribute-Based Coloring. Procedia Computer Science. 201:C. (429-436). Online publication date: 1-Jan-2022.

https://doi.org/10.1016/j.procs.2022.03.056

Moon H, Bu S and Cho S. (2022). Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). 10.1007/978-3-030-87869-6_55. (578-587).

https://link.springer.com/10.1007/978-3-030-87869-6_55

Valejo A, Althoff P, de Paulo Faleiros T, Chuerubim M, Yan J, Liu W and Zhao L. Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks. Intelligent Systems. (437-452).

https://doi.org/10.1007/978-3-030-91702-9_29

Carnevali J, Geraldeli Rossi R, Milios E and de Andrade Lopes A. (2021). A graph-based approach for positive and unlabeled learning. Information Sciences: an International Journal. 580:C. (655-672). Online publication date: 1-Nov-2021.

https://doi.org/10.1016/j.ins.2021.08.099

Valejo A, de Oliveira dos Santos W, Naldi M and Zhao L. (2021). A review and comparative analysis of coarsening algorithms on bipartite networks. The European Physical Journal Special Topics. 10.1140/epjs/s11734-021-00159-0. 230:14-15. (2801-2811). Online publication date: 1-Oct-2021.

https://link.springer.com/10.1140/epjs/s11734-021-00159-0

Lu Z, Hao J, Benlic U and Lesaint D. (2021). Iterated multilevel simulated annealing for large-scale graph conductance minimization. Information Sciences: an International Journal. 572:C. (182-199). Online publication date: 1-Sep-2021.

https://doi.org/10.1016/j.ins.2021.04.102

Colliri T, Minakawa M and Zhao L. (2021). Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach. Intelligent Systems. 10.1007/978-3-030-91699-2_4. (42-57).

https://link.springer.com/10.1007/978-3-030-91699-2_4

Zellmann S, Weier M and Wald I. (2020). Accelerating Force-Directed Graph Drawing with RT Cores 2020 IEEE Visualization Conference (VIS). 10.1109/VIS47514.2020.00026. 978-1-7281-8014-4. (96-100).

https://ieeexplore.ieee.org/document/9331321/

Minatel D, Ferreira V and de Andrade Lopes A. (2020). Local-entity resolution for building location-based social networks by using stay points. Theoretical Computer Science. 10.1016/j.tcs.2020.10.013. Online publication date: 1-Oct-2020.

https://linkinghub.elsevier.com/retrieve/pii/S0304397520305843