Yixuan He
Cited by
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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
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
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
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
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
DIGRAC: Digraph Clustering Based on Flow Imbalance
Y He, G Reinert, M Cucuringu
Learning on Graphs Conference, 21: 1-21: 43, 2022
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
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs
Y He, X Zhang, J Huang, M Cucuringu, G Reinert
arXiv preprint arXiv:2202.10793, 2022
GNNs for Node Clustering in Signed and Directed Networks
Y He
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
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
Difformer: Scalable (graph) transformers induced by energy constrained diffusion
Q Wu, C Yang, W Zhao, Y He, D Wipf, J Yan
arXiv preprint arXiv:2301.09474, 2023
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
Data Study Group Final Report: Greenvest Solutions
PS Eduardo Arnold,Jiaxin Chen, Ivan Croydon-Veleslavov, Anurag Deshpande ..., 2021
MagNet: A Neural Network for Directed Graphs Supplementary Material
X Zhang, Y He, N Brugnone, M Perlmutter, M Hirn
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