Sledovať
Pan Li
Názov
Citované v
Citované v
Rok
Adaptive universal generalized pagerank graph neural network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations, 2021
8882021
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
4062020
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
3842021
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
3022021
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
294*2021
Graph information bottleneck
T Wu, H Ren, P Li, J Leskovec
Advances in Neural Information Processing Systems 33, 20437-20448, 2020
2862020
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
S Miao, M Liu, P Li
International Conference on Machine Learning, 15524-15543, 2022
2372022
Inhomogeneous hypergraph clustering with applications
P Li, O Milenkovic
Advances in Neural Information Processing Systems, 2017
1872017
Nested Graph Neural Networks
M Zhang, P Li
Advances in Neural Information Processing Systems, 2021
1842021
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
1512021
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
H Wang, H Yin, M Zhang, P Li
International Conference on Learning Representations, 2022
1412022
Submodular hypergraphs: p-laplacians, cheeger inequalities and spectral clustering
P Li, O Milenkovic
International Conference on Machine Learning, 3014-3023, 2018
1222018
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
1132019
On positional and structural node features for graph neural networks on non-attributed graphs
H Cui, Z Lu, P Li, C Yang
Proceedings of the 31st ACM International Conference on Information …, 2022
972022
Motif and hypergraph correlation clustering
P Li, GJ Puleo, O Milenkovic
IEEE Transactions on Information Theory 66 (5), 3065-3078, 2019
97*2019
Better trigger inversion optimization in backdoor scanning
G Tao, G Shen, Y Liu, S An, Q Xu, S Ma, P Li, X Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
872022
Optimizing generalized pagerank methods for seed-expansion community detection
P Li, E Chien, O Milenkovic
Advances in Neural Information Processing Systems, 2019
802019
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
M Tang, C Yang, P Li
International Conference on Learning Representations, 2022
712022
MSTREAM: Fast anomaly detection in multi-aspect streams
S Bhatia, A Jain, P Li, R Kumar, B Hooi
Proceedings of the Web Conference, 2021
692021
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
682022
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