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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
3562019
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
922019
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
912020
Convolutional set matching for graph similarity
Y Bai, H Ding, Y Sun, W Wang
arXiv preprint arXiv:1810.10866, 2018
502018
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
352021
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
272020
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
242022
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
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
152022
Bi-level graph neural networks for drug-drug interaction prediction
Y Bai, K Gu, Y Sun, W Wang
arXiv preprint arXiv:2006.14002, 2020
152020
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
122023
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
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
112020
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
Enabling automated FPGA accelerator optimization using graph neural networks
A Sohrabizadeh, Y Bai, Y Sun, J Cong
arXiv preprint arXiv:2111.08848, 2021
92021
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
82022
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
62019
CoSimGNN: Towards large-scale graph similarity computation
H Xu, R Chen, Y Wang, Z Duan, J Feng
arXiv preprint arXiv:2005.07115, 2020
52020
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
32023
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
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