Pairnorm: Tackling oversmoothing in gnns L Zhao, L Akoglu arXiv preprint arXiv:1909.12223, 2019 | 226 | 2019 |
Beyond homophily in graph neural networks: Current limitations and effective designs J Zhu, Y Yan, L Zhao, M Heimann, L Akoglu, D Koutra Advances in Neural Information Processing Systems 33, 7793-7804, 2020 | 158 | 2020 |
A quest for structure: Jointly learning the graph structure and semi-supervised classification X Wu, L Zhao, L Akoglu Proceedings of the 27th ACM international conference on information and …, 2018 | 21 | 2018 |
Graph unrolling networks: Interpretable neural networks for graph signal denoising S Chen, YC Eldar, L Zhao IEEE Transactions on Signal Processing 69, 3699-3713, 2021 | 19 | 2021 |
Generalizing graph neural networks beyond homophily J Zhu, Y Yan, L Zhao, M Heimann, L Akoglu, D Koutra arXiv preprint arXiv:2006.11468, 2020 | 16 | 2020 |
From stars to subgraphs: Uplifting any GNN with local structure awareness L Zhao, W Jin, L Akoglu, N Shah arXiv preprint arXiv:2110.03753, 2021 | 8 | 2021 |
On using classification datasets to evaluate graph outlier detection: Peculiar observations and new insights L Zhao, L Akoglu Big Data, 2021 | 7 | 2021 |
Sign and Basis Invariant Networks for Spectral Graph Representation Learning D Lim, J Robinson, L Zhao, T Smidt, S Sra, H Maron, S Jegelka arXiv preprint arXiv:2202.13013, 2022 | 6 | 2022 |
Graph condensation for graph neural networks W Jin, L Zhao, S Zhang, Y Liu, J Tang, N Shah arXiv preprint arXiv:2110.07580, 2021 | 6 | 2021 |
Connecting Graph Convolutional Networks and Graph-Regularized PCA L Zhao, L Akoglu arXiv preprint arXiv:2006.12294, 2020 | 2 | 2020 |
Fast Attributed Graph Embedding via Density of States S Sawlani, L Zhao, L Akoglu 2021 IEEE International Conference on Data Mining (ICDM), 559-568, 2021 | 1 | 2021 |
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution X Ding, L Zhao, L Akoglu arXiv preprint arXiv:2206.07647, 2022 | | 2022 |
Connecting Graph Convolution and Graph PCA L Zhao, L Akoglu | | 2021 |
Approximate inference with Graph Neural Networks L Zhao, K Korovina, W Si, M Cheung | | |