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Yunsheng Bai
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Simgnn: A neural network approach to fast graph similarity computation
Y Bai, H Ding, S Bian, T Chen, Y Sun, W Wang
Proceedings of the twelfth ACM international conference on web search and …, 2019
4002019
Learning-based efficient graph similarity computation via multi-scale convolutional set matching
Y Bai, H Ding, K Gu, Y Sun, W Wang
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3219-3226, 2020
1082020
Unsupervised inductive graph-level representation learning via graph-graph proximity
Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang
arXiv preprint arXiv:1904.01098, 2019
1012019
Convolutional set matching for graph similarity
Y Bai, H Ding, Y Sun, W Wang
arXiv preprint arXiv:1810.10866, 2018
542018
Glsearch: Maximum common subgraph detection via learning to search
Y Bai, D Xu, Y Sun, W Wang
International Conference on Machine Learning, 588-598, 2021
432021
Automated accelerator optimization aided by graph neural networks
A Sohrabizadeh, Y Bai, Y Sun, J Cong
Proceedings of the 59th ACM/IEEE Design Automation Conference, 55-60, 2022
392022
GHashing: Semantic graph hashing for approximate similarity search in graph databases
Z Qin, Y Bai, Y Sun
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
342020
Dual-geometric space embedding model for two-view knowledge graphs
RG Iyer, Y Bai, W Wang, Y Sun
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
222022
Code recommendation for open source software developers
Y Jin, Y Bai, Y Zhu, Y Sun, W Wang
Proceedings of the ACM Web Conference 2023, 1324-1333, 2023
202023
Bi-level graph neural networks for drug-drug interaction prediction
Y Bai, K Gu, Y Sun, W Wang
arXiv preprint arXiv:2006.14002, 2020
192020
Robust GNN-based representation learning for HLS
A Sohrabizadeh, Y Bai, Y Sun, J Cong
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
162023
Fast detection of maximum common subgraph via deep q-learning
Y Bai, D Xu, A Wang, K Gu, X Wu, A Marinovic, C Ro, Y Sun, W Wang
arXiv preprint arXiv:2002.03129 16, 1235-1243, 2020
162020
Improving GNN-based accelerator design automation with meta learning
Y Bai, A Sohrabizadeh, Y Sun, J Cong
Proceedings of the 59th ACM/IEEE Design Automation Conference, 1347-1350, 2022
132022
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
H Xu, R Chen, Y Bai, J Feng, Z Duan, K Luo, Y Sun, W Wang
arXiv preprint arXiv:2005.07115, 2020
122020
Graph edit distance computation via graph neural networks
Y Bai, H Ding, S Bian, T Chen, Y Sun, W Wang
arXiv preprint arXiv:1808.05689, 2018
122018
Enabling automated FPGA accelerator optimization using graph neural networks
A Sohrabizadeh, Y Bai, Y Sun, J Cong
arXiv preprint arXiv:2111.08848, 2021
102021
Unsupervised inductive whole-graph embedding by preserving graph proximity
Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang
Proceedings of the seventh international conference on learning …, 2019
102019
Towards a comprehensive benchmark for high-level synthesis targeted to FPGAs
Y Bai, A Sohrabizadeh, Z Qin, Z Hu, Y Sun, J Cong
Advances in Neural Information Processing Systems 36, 45288-45299, 2023
82023
Neural maximum common subgraph detection with guided subgraph extraction
Y Bai, D Xu, K Gu, X Wu, A Marinovic, C Ro, Y Sun, W Wang
72020
CoSimGNN: towards large-scale graph similarity computation
H Xu, R Chen, Y Wang, Z Duan, J Feng
arXiv preprint arXiv:2005.07115, 2020
52020
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