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引用“”的文章GEMSEC: graph embedding with self clustering

标题/作者	年份
A time-dependent SIR model for COVID-19 with undetectable infected persons YC Chen, PE Lu, CS Chang, TH Liu Ieee transactions on network science and engineering 7 (4), 3279-3294	2020
Multi-scale attributed node embedding B Rozemberczki, C Allen, R Sarkar Journal of Complex Networks 9 (2), cnab014	2021
Machine learning on graphs: A model and comprehensive taxonomy I Chami, S Abu-El-Haija, B Perozzi, C Ré, K Murphy The Journal of Machine Learning Research 23 (1), 3840-3903	2022
Characteristic functions on graphs: Birds of a feather, from statistical descriptors to parametric models B Rozemberczki, R Sarkar Proceedings of the 29th ACM international conference on information …	2020
Karate Club: an API oriented open-source python framework for unsupervised learning on graphs B Rozemberczki, O Kiss, R Sarkar Proceedings of the 29th ACM international conference on information …	2020
vgraph: A generative model for joint community detection and node representation learning FY Sun, M Qu, J Hoffmann, CW Huang, J Tang Advances in Neural Information Processing Systems 32	2019
Survey on graph embeddings and their applications to machine learning problems on graphs I Makarov, D Kiselev, N Nikitinsky, L Subelj PeerJ Computer Science 7, e357	2021
Ant colony optimization for the control of pollutant spreading on social networks WN Chen, DZ Tan, Q Yang, T Gu, J Zhang IEEE Transactions on Cybernetics 50 (9), 4053-4065	2019
Evolutionary Markov dynamics for network community detection Z Wang, C Wang, X Li, C Gao, X Li, J Zhu IEEE Transactions on Knowledge and Data Engineering 34 (3), 1206-1220	2020
Message-passing approach to epidemic tracing and mitigation with apps G Bianconi, H Sun, G Rapisardi, A Arenas Physical Review Research 3 (1), L012014	2021
Collaboro: a collaborative (meta) modeling tool JLC Izquierdo, J Cabot PeerJ Computer Science 2, e84	2016
IM-ELPR: Influence maximization in social networks using label propagation based community structure S Kumar, L Singhla, K Jindal, K Grover, BS Panda Applied Intelligence, 1-19	2021
Network representation learning: from preprocessing, feature extraction to node embedding J Zhou, L Liu, W Wei, J Fan ACM Computing Surveys (CSUR) 55 (2), 1-35	2022
Influence maximization in social networks using graph embedding and graph neural network S Kumar, A Mallik, A Khetarpal, BS Panda Information Sciences 607, 1617-1636	2022
Adversarial label-flipping attack and defense for graph neural networks M Zhang, L Hu, C Shi, X Wang 2020 IEEE International Conference on Data Mining (ICDM), 791-800	2020
Little ball of fur: a python library for graph sampling B Rozemberczki, O Kiss, R Sarkar Proceedings of the 29th ACM International Conference on Information …	2020
An api oriented open-source python framework for unsupervised learning on graphs B Rozemberczki, O Kiss, R Sarkar arXiv preprint arXiv:2003.04819 10 (3340531.3412757)	2020
Adversarial robustness of similarity-based link prediction K Zhou, TP Michalak, Y Vorobeychik 2019 IEEE International Conference on Data Mining (ICDM), 926-935	2019
“What do your friends think?”: Efficient polling methods for networks using friendship paradox B Nettasinghe, V Krishnamurthy IEEE transactions on knowledge and data engineering 33 (3), 1291-1305	2019
Schema inference for property graphs H Lbath, A Bonifati, R Harmer EDBT 2021-24th International Conference on Extending Database Technology …	2021

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