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Yunsheng Bai
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Year
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
2062019
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
612019
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
492020
Convolutional set matching for graph similarity
Y Bai, H Ding, Y Sun, W Wang
arXiv preprint arXiv:1810.10866, 2018
302018
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
172020
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, 2020
132020
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
122021
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
92018
Bi-level graph neural networks for drug-drug interaction prediction
Y Bai, K Gu, Y Sun, W Wang
arXiv preprint arXiv:2006.14002, 2020
72020
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
52019
Enabling automated FPGA accelerator optimization using graph neural networks
A Sohrabizadeh, Y Bai, Y Sun, J Cong
Comput. Res. Repository, 1-12, 2021
42021
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
32022
CoSimGNN: Towards large-scale graph similarity computation
H Xu, R Chen, Y Wang, Z Duan, J Feng
arXiv preprint arXiv:2005.07115, 2020
32020
Convolutional neural networks for fast approximation of graph edit distance
Y Bai, H Ding, Y Sun, W Wang
arXiv preprint arXiv: 1809.04440, 2018
32018
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
22022
Code Recommendation for Open Source Software Developers
Y Jin, Y Bai, Y Zhu, Y Sun, W Wang
arXiv preprint arXiv:2210.08332, 2022
12022
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
12022
GNN-DSE: Automated Accelerator Optimization Aided by Graph Neural Networks
A Sohrabizadeh, Y Bai, Y Sun, J Cong
arXiv preprint arXiv:2111.08848, 2021
12021
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
12020
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
12019
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