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Yongyi Yang
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Graph neural networks inspired by classical iterative algorithms
Y Yang, T Liu, Y Wang, J Zhou, Q Gan, Z Wei, Z Zhang, Z Huang, D Wipf
International Conference on Machine Learning, 11773-11783, 2021
682021
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
H Ahn, Y Yang, Q Gan, T Moon, DP Wipf
Advances in Neural Information Processing Systems 35, 38436-38448, 2022
172022
Transformers from an Optimization Perspective
Y Yang, Z Huang, D Wipf
arXiv preprint arXiv:2205.13891, 2022
162022
Relation of the relations: A new paradigm of the relation extraction problem
Z Jin, Y Yang, X Qiu, Z Zhang
arXiv preprint arXiv:2006.03719, 2020
132020
Implicit vs unfolded graph neural networks
Y Yang, T Liu, Y Wang, Z Huang, D Wipf
arXiv preprint arXiv:2111.06592, 2021
112021
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
Z Zhou, Y Yang, X Yang, J Yan, W Hu
arXiv preprint arXiv:2307.08286, 2023
62023
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Y Wang, J Jin, W Zhang, Y Yang, J Chen, Q Gan, Y Yu, Z Zhang, Z Huang, ...
arXiv preprint arXiv:2110.07190, 2021
52021
Are neurons actually collapsed? on the fine-grained structure in neural representations
Y Yang, J Steinhardt, W Hu
International Conference on Machine Learning, 39453-39487, 2023
12023
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Articles 1–8