| Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation C Yang, L Bai, C Zhang, Q Yuan, J Han Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 192 | 2017 |
| Geodesic distance function learning via heat flow on vector fields B Lin, C Yang, X He, J Ye International Conference on Machine Learning, 145-153, 2014 | 73* | 2014 |
| Adversarial attack and defense on graph data: A survey L Sun, Y Dou, C Yang, J Wang, PS Yu, B Li arXiv preprint arXiv:1812.10528, 2018 | 34 | 2018 |
| I know you'll be back: Interpretable new user clustering and churn prediction on a mobile social application C Yang, X Shi, L Jie, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 34 | 2018 |
| Local coordinate concept factorization for image representation H Liu, Z Yang, C Yang, Z Wu, X Li IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1071-1082, 2013 | 33 | 2013 |
| mvn2vec: Preservation and collaboration in multi-view network embedding Y Shi, F Han, X He, X He, C Yang, J Luo, J Han arXiv preprint arXiv:1801.06597, 2018 | 26 | 2018 |
| Meta-graph based hin spectral embedding: Methods, analyses, and insights C Yang, Y Feng, P Li, Y Shi, J Han 2018 IEEE International Conference on Data Mining (ICDM), 657-666, 2018 | 21 | 2018 |
| Bi-directional joint inference for user links and attributes on large social graphs C Yang, L Zhong, LJ Li, L Jie Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 21 | 2017 |
| Did you enjoy the ride? understanding passenger experience via heterogeneous network embedding C Yang, C Zhang, X Chen, J Ye, J Han 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1392-1403, 2018 | 15 | 2018 |
| Conditional Structure Generation through Graph Variational Generative Adversarial Nets. C Yang, P Zhuang, W Shi, A Luu, P Li NeurIPS, 1338-1349, 2019 | 14 | 2019 |
| Node, motif and subgraph: Leveraging network functional blocks through structural convolution C Yang, M Liu, VW Zheng, J Han 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 14 | 2018 |
| Similarity modeling on heterogeneous networks via automatic path discovery C Yang, M Liu, F He, X Zhang, J Peng, J Han Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 13 | 2018 |
| Heterogeneous network representation learning: Survey, benchmark, evaluation, and beyond C Yang, Y Xiao, Y Zhang, Y Sun, J Han arXiv preprint arXiv:2004.00216, 2020 | 11 | 2020 |
| Spatiotemporal activity modeling under data scarcity: A graph-regularized cross-modal embedding approach C Zhang, M Liu, Z Liu, C Yang, L Zhang, J Han Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 10 | 2018 |
| Relation learning on social networks with multi-modal graph edge variational autoencoders C Yang, J Zhang, H Wang, S Li, M Kim, M Walker, Y Xiao, J Han Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 9 | 2020 |
| Graph clustering with dynamic embedding C Yang, M Liu, Z Wang, L Liu, J Han arXiv preprint arXiv:1712.08249, 2017 | 9 | 2017 |
| Neural embedding propagation on heterogeneous networks C Yang, J Zhang, J Han 2019 IEEE International Conference on Data Mining (ICDM), 698-707, 2019 | 7 | 2019 |
| Rase: Relationship aware social embedding A Sankar, A Krishnan, Z He, C Yang 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Cone: Community oriented network embedding C Yang, H Lu, KCC Chang arXiv preprint arXiv:1709.01554, 2017 | 7 | 2017 |
| Place deduplication with embeddings C Yang, DH Hoang, T Mikolov, J Han The World Wide Web Conference, 3420-3426, 2019 | 5 | 2019 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinoiscs.uiuc.edu üzerinde doğrulanmış e-posta adresine sahip
