| Inhomogeneous hypergraph clustering with applications P Li, O Milenkovic NeurIPS 2017, 2017 | 93 | 2017 |
| Submodular hypergraphs: p-laplacians, cheeger inequalities and spectral clustering P Li, O Milenkovic International Conference on Machine Learning, 3014-3023, 2018 | 48 | 2018 |
| Motif clustering and overlapping clustering for social network analysis P Li, H Dau, G Puleo, O Milenkovic IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 43 | 2017 |
| Spectrally efficient CSI acquisition for power line communications: A Bayesian compressive sensing perspective W Ding, Y Lu, F Yang, W Dai, P Li, S Liu, J Song IEEE Journal on Selected Areas in Communications 34 (7), 2022-2032, 2016 | 36 | 2016 |
| Conditional Structure Generation through Graph Variational Generative Adversarial Nets. C Yang, P Zhuang, W Shi, A Luu, P Li NeurIPS, 1338-1349, 2019 | 34 | 2019 |
| 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 | 28 | 2018 |
| Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning P Li, Y Wang, H Wang, J Leskovec Advances in Neural Information Processing Systems 33, 2020 | 25* | 2020 |
| Quadratic Decomposable Submodular Function Minimization: Theory and Practice. P Li, N He, O Milenkovic J. Mach. Learn. Res. 21, 106:1-106:49, 2020 | 22* | 2020 |
| Adaptive universal generalized pagerank graph neural network E Chien, J Peng, P Li, O Milenkovic International Conference on Learning Representations. https://openreview …, 2021 | 21 | 2021 |
| Optimizing generalized pagerank methods for seed-expansion community detection P Li, E Chien, O Milenkovic NeurIPS 2019, 2019 | 19 | 2019 |
| Combining decision trees and neural networks for learning-to-rank in personal search P Li, Z Qin, X Wang, D Metzler Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 17 | 2019 |
| Revisiting decomposable submodular function minimization with incidence relations P Li, O Milenkovic NeurIPS 2018, 2018 | 17 | 2018 |
| Revisiting Graph Neural Networks for Link Prediction M Zhang, P Li, Y Xia, K Wang, L Jin arXiv preprint arXiv:2010.16103, 2020 | 13 | 2020 |
| Graph Information Bottleneck T Wu, H Ren, P Li, J Leskovec NeurIPS 2020, 2020 | 12 | 2020 |
| : Active learning over hypergraphs with pointwise and pairwise queries IE Chien, H Zhou, P Li The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 11 | 2019 |
| Motif and hypergraph correlation clustering P Li, GJ Puleo, O Milenkovic IEEE Transactions on Information Theory 66 (5), 3065-3078, 2019 | 8 | 2019 |
| Efficient rank aggregation via lehmer codes P Li, A Mazumdar, O Milenkovic Artificial Intelligence and Statistics, 450-459, 2017 | 6 | 2017 |
| Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Y Wang, YY Chang, Y Liu, J Leskovec, P Li ICLR 2021, 2021 | 5 | 2021 |
| MStream: Fast Anomaly Detection in Multi-Aspect Streams S Bhatia, A Jain, P Li, R Kumar, B Hooi Proceedings of the Web Conference 2021, 3371-3382, 2021 | 4 | 2021 |
| Strongly local hypergraph diffusions for clustering and semi-supervised learning M Liu, N Veldt, H Song, P Li, DF Gleich Proceedings of the Web Conference 2021, 2092-2103, 2021 | 4 | 2021 |
Olgica MilenkovicUniversity of IllinoisVerified email at illinois.edu
