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Guojie Song
- > Home > Persons > Guojie Song
Publications
- 2023
- [j37]Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi:
Learning discrete adaptive receptive fields for graph convolutional networks. Sci. China Inf. Sci. 66(12) (2023) - 2022
- [j24]Guojie Song, Liang Zhang, Ziyao Li, Yi Li:
Large Scale Network Embedding: A Separable Approach. IEEE Trans. Knowl. Data Eng. 34(4): 1829-1842 (2022) - [i22]Shuwen Yang, Tianyu Wen, Ziyao Li, Guojie Song:
Equivalent Distance Geometry Error for Molecular Conformation Comparison. CoRR abs/2201.08714 (2022) - 2021
- [c82]Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai:
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. ICLR 2021 - [c79]Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai:
Deep Molecular Representation Learning via Fusing Physical and Chemical Information. NeurIPS 2021: 16346-16357 - [i17]Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai:
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. CoRR abs/2105.03688 (2021) - [i15]Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai:
Deep Molecular Representation Learning via Fusing Physical and Chemical Information. CoRR abs/2112.04624 (2021) - [i14]Wenhao Zhu, Ziyao Li, Lingsheng Cai, Guojie Song:
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference. CoRR abs/2112.13305 (2021) - 2020
- [c70]Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song:
Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. ADMA 2020: 176-190 - [c67]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. ICDM 2020: 1310-1315 - [i10]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. CoRR abs/2012.02434 (2020) - 2019
- [c63]Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. AAAI 2019: 4261-4268 - [c60]Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. IJCAI 2019: 2959-2965 - [i9]Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. CoRR abs/1902.09817 (2019) - 2018
- [i3]Ziyao Li, Liang Zhang, Guojie Song:
SepNE: Bringing Separability to Network Embedding. CoRR abs/1811.05614 (2018)
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