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Yixuan He
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Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models
B Rozemberczki, P Scherer, Y He, G Panagopoulos, A Riedel, ...
Proceedings of the 30th ACM international conference on information …, 2021
1822021
Magnet: A neural network for directed graphs
X Zhang, Y He, N Brugnone, M Perlmutter, M Hirn
Advances in neural information processing systems 34, 27003-27015, 2021
106*2021
Difformer: Scalable (graph) transformers induced by energy constrained diffusion
Q Wu, C Yang, W Zhao, Y He, D Wipf, J Yan
International Conference on Learning Representations (ICLR, Spotlight), 2023
582023
SSSNET: semi-supervised signed network clustering
Y He, G Reinert, S Wang, M Cucuringu
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
282022
Msgnn: A spectral graph neural network based on a novel magnetic signed laplacian
Y He, M Perlmutter, G Reinert, M Cucuringu
Learning on Graphs Conference, 40: 1-40: 39, 2022
232022
Gnnrank: Learning global rankings from pairwise comparisons via directed graph neural networks
Y He, Q Gan, D Wipf, GD Reinert, J Yan, M Cucuringu
international conference on machine learning, 8581-8612, 2022
232022
Scan-flood fill (SCAFF): An efficient automatic precise region filling algorithm for complicated regions
Y He, T Hu, D Zeng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
212019
Pytorch geometric signed directed: A software package on graph neural networks for signed and directed graphs
Y He, X Zhang, J Huang, B Rozemberczki, M Cucuringu, G Reinert
Learning on Graphs Conference, 12:1-12:27, 2024
202024
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation
D Zeng, Y He, L Liu, Z Chen, J Huang, J Chen, J Paisley
arXiv preprint arXiv:1805.05638, 2018
132018
DIGRAC: digraph clustering based on flow imbalance
Y He, G Reinert, M Cucuringu
Learning on Graphs Conference, 21: 1-21: 43, 2022
11*2022
Pyramid graph neural network: A graph sampling and filtering approach for multi-scale disentangled representations
H Geng, C Chen, Y He, G Zeng, Z Han, H Chai, J Yan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
62023
Gnns for node clustering in signed and directed networks
Y He
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
62022
Robust Angular Synchronization via Directed Graph Neural Networks
Y He, G Reinert, D Wipf, M Cucuringu
International Conference on Learning Representations (ICLR 2024), 2023
32023
Generalization Error of Graph Neural Networks in the Mean-field Regime
G Aminian, Y He, G Reinert, Ł Szpruch, SN Cohen
arXiv preprint arXiv:2402.07025, 2024
12024
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
HR Steach, S Viswanath, Y He, X Zhang, N Ivanova, M Hirn, M Perlmutter, ...
28th Annual International Conference on Research in Computational Molecular …, 2023
12023
CEP3: Community Event Prediction with Neural Point Process on Graph
X Wang, S Chen, Y He, M Wang, Q Gan, J Yan
Learning on Graphs Conference, 39: 1-39: 17, 2022
12022
Graph neural networks for network analysis
Y He
University of Oxford, 2024
2024
Data Study Group Final Report: Greenvest Solutions
PS Eduardo Arnold,Jiaxin Chen, Ivan Croydon-Veleslavov, Anurag Deshpande ...
https://doi.org/10.5281/zenodo.4534349, 2021
2021
MagNet: A Neural Network for Directed Graphs Supplementary Material
X Zhang, Y He, N Brugnone, M Perlmutter, M Hirn
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Articles 1–19