| A survey of community detection approaches: From statistical modeling to deep learning D Jin, Z Yu, P Jiao, S Pan, D He, J Wu, SY Philip, W Zhang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1149-1170, 2021 | 279 | 2021 |
| Modularity based community detection with deep learning. L Yang, X Cao, D He, C Wang, X Wang, W Zhang IJCAI 16 (2016), 2252-2258, 2016 | 248 | 2016 |
| Graph convolutional networks meet markov random fields: Semi-supervised community detection in attribute networks D Jin, Z Liu, W Li, D He, W Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 152-159, 2019 | 122 | 2019 |
| Joint identification of network communities and semantics via integrative modeling of network topologies and node contents D He, Z Feng, D Jin, X Wang, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 105 | 2017 |
| A Markov random walk under constraint for discovering overlapping communities in complex networks D Jin, B Yang, C Baquero, D Liu, D He, J Liu Journal of Statistical Mechanics: Theory and Experiment 2011 (05), P05031, 2011 | 101 | 2011 |
| Identifying overlapping communities as well as hubs and outliers via nonnegative matrix factorization X Cao, X Wang, D Jin, Y Cao, D He Scientific reports 3 (1), 2993, 2013 | 99 | 2013 |
| Adaptive community detection incorporating topology and content in social networks M Qin, D Jin, D He, B Gabrys, K Musial Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 97 | 2017 |
| Community-centric graph convolutional network for unsupervised community detection D He, Y Song, D Jin, Z Feng, B Zhang, Z Yu, W Zhang Proceedings of the twenty-ninth international conference on international …, 2021 | 83 | 2021 |
| Semi-supervised community detection based on non-negative matrix factorization with node popularity X Liu, W Wang, D He, P Jiao, D Jin, CV Cannistraci Information Sciences 381, 304-321, 2017 | 80 | 2017 |
| Genetic algorithm with local search for community mining in complex networks D Jin, D He, D Liu, C Baquero 2010 22nd IEEE international conference on tools with artificial …, 2010 | 79 | 2010 |
| Powerful graph convolutional networks with adaptive propagation mechanism for homophily and heterophily T Wang, D Jin, R Wang, D He, Y Huang Proceedings of the AAAI conference on artificial intelligence 36 (4), 4210-4218, 2022 | 71 | 2022 |
| Universal graph convolutional networks D Jin, Z Yu, C Huo, R Wang, X Wang, D He, J Han Advances in Neural Information Processing Systems 34, 10654-10664, 2021 | 68 | 2021 |
| Block modeling-guided graph convolutional neural networks D He, C Liang, H Liu, M Wen, P Jiao, Z Feng Proceedings of the AAAI conference on artificial intelligence 36 (4), 4022-4029, 2022 | 53 | 2022 |
| AS-GCN: Adaptive semantic architecture of graph convolutional networks for text-rich networks Z Yu, D Jin, Z Liu, D He, X Wang, H Tong, J Han 2021 IEEE International Conference on Data Mining (ICDM), 837-846, 2021 | 52 | 2021 |
| Community mining in complex networks clustering combination based genetic algorithm DX He, X Zhou, Z Wang, CG Zhou, Z Wang, D Jin Acta Automatica Sinica 36 (8), 1160-1170, 2010 | 50 | 2010 |
| Genetic algorithm with local search for community detection in large-scale complex networks D Jin, J Liu, B Yang, DX He, DY Liu Acta Automatica Sinica 37 (7), 873-882, 2011 | 49 | 2011 |
| Identification of hybrid node and link communities in complex networks D He, D Jin, Z Chen, W Zhang Scientific reports 5 (1), 8638, 2015 | 47 | 2015 |
| Temporal network embedding for link prediction via VAE joint attention mechanism P Jiao, X Guo, X Jing, D He, H Wu, S Pan, M Gong, W Wang IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7400-7413, 2021 | 46 | 2021 |
| Modeling with node degree preservation can accurately find communities D Jin, Z Chen, D He, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 45 | 2015 |
| Incorporating network embedding into markov random field for better community detection D Jin, X You, W Li, D He, P Cui, F Fogelman-Soulié, T Chakraborty Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 160-167, 2019 | 44 | 2019 |
Di JinTianjin University, ProfessorBestätigte E-Mail-Adresse bei tju.edu.cn
