Pan Li
Cytowane przez
Cytowane przez
Inhomogeneous hypergraph clustering with applications
P Li, O Milenkovic
NeurIPS 2017, 2017
Submodular hypergraphs: p-laplacians, cheeger inequalities and spectral clustering
P Li, O Milenkovic
International Conference on Machine Learning, 3014-3023, 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
Conditional Structure Generation through Graph Variational Generative Adversarial Nets.
C Yang, P Zhuang, W Shi, A Luu, P Li
NeurIPS, 1338-1349, 2019
Adaptive universal generalized pagerank graph neural network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations. https://openreview …, 2021
Distance encoding: Design provably more powerful neural networks for graph representation learning
P Li, Y Wang, H Wang, J Leskovec
Neurips 2020, 2020
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
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
Quadratic Decomposable Submodular Function Minimization: Theory and Practice.
P Li, N He, O Milenkovic
J. Mach. Learn. Res. 21, 106:1-106:49, 2020
Optimizing generalized pagerank methods for seed-expansion community detection
P Li, E Chien, O Milenkovic
NeurIPS 2019, 2019
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
M Zhang, P Li, Y Xia, K Wang, L Jin
Advances in Neural Information Processing Systems 34, 2021
Graph Information Bottleneck
T Wu, H Ren, P Li, J Leskovec
NeurIPS 2020, 2020
Revisiting decomposable submodular function minimization with incidence relations
P Li, O Milenkovic
NeurIPS 2018, 2018
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
: 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
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Y Wang, YY Chang, Y Liu, J Leskovec, P Li
ICLR 2021, 2021
Motif and hypergraph correlation clustering
P Li, GJ Puleo, O Milenkovic
IEEE Transactions on Information Theory 66 (5), 3065-3078, 2019
Efficient rank aggregation via lehmer codes
P Li, A Mazumdar, O Milenkovic
Artificial Intelligence and Statistics, 450-459, 2017
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
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
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