Suivre
Pan Li
Titre
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Année
Adaptive universal generalized pagerank graph neural network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations, 2021
2122021
Inhomogeneous hypergraph clustering with applications
P Li, O Milenkovic
Advances in Neural Information Processing Systems, 2017
1392017
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, 4465-4478, 2020
137*2020
Adversarial graph augmentation to improve graph contrastive learning
S Suresh, P Li, C Hao, J Neville
Advances in Neural Information Processing Systems 34, 15920-15933, 2021
902021
Graph information bottleneck
T Wu, H Ren, P Li, J Leskovec
Advances in Neural Information Processing Systems 33, 20437-20448, 2020
812020
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, 9061-9073, 2021
80*2021
Submodular hypergraphs: p-laplacians, cheeger inequalities and spectral clustering
P Li, O Milenkovic
International Conference on Machine Learning, 3014-3023, 2018
782018
Motif and hypergraph correlation clustering
P Li, GJ Puleo, O Milenkovic
IEEE Transactions on Information Theory 66 (5), 3065-3078, 2019
76*2019
Conditional structure generation through graph variational generative adversarial nets
C Yang, P Zhuang, W Shi, A Luu, P Li
Advances in Neural Information Processing Systems, 2019
752019
Inductive representation learning in temporal networks via causal anonymous walks
Y Wang, YY Chang, Y Liu, J Leskovec, P Li
International Conference on Learning Representations, 2021
542021
Nested Graph Neural Networks
M Zhang, P Li
Advances in Neural Information Processing Systems, 2021
392021
Optimizing generalized pagerank methods for seed-expansion community detection
P Li, E Chien, O Milenkovic
Advances in Neural Information Processing Systems, 2019
382019
Meta-graph based hin spectral embedding: Methods, analyses, and insights
C Yang, Y Feng, P Li, Y Shi, J Han
IEEE International Conference on Data Mining, 2018
382018
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
342016
Quadratic Decomposable Submodular Function Minimization: Theory and Practice.
P Li, N He, O Milenkovic
Journal of Machine Learning Research 21, 106:1-106:49, 2020
28*2020
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
S Suresh, V Budde, J Neville, P Li, J Ma
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
262021
MSTREAM: Fast anomaly detection in multi-aspect streams
S Bhatia, A Jain, P Li, R Kumar, B Hooi
Proceedings of the Web Conference, 2021
252021
Applications and techniques for fast machine learning in science
AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ...
Frontiers in big Data 5, 2022
222022
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
222019
F-fade: Frequency factorization for anomaly detection in edge streams
YY Chang, P Li, R Sosic, MH Afifi, M Schweighauser, J Leskovec
Proceedings of the ACM International Conference on Web Search and Data Mining, 2021
212021
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