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GLSearch: Maximum Common Subgraph Detection via Learning to Search.

, , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 588-598. PMLR, (2021)

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GLSearch: Maximum Common Subgraph Detection via Learning to Search., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 588-598. PMLR, (2021)Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity., , , , , , , and . IJCAI, page 1988-1994. ijcai.org, (2019)Code Recommendation for Open Source Software Developers., , , , and . WWW, page 1324-1333. ACM, (2023)Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search., , , and . CoRR, (2022)SimGNN: A Neural Network Approach to Fast Graph Similarity Computation., , , , , and . WSDM, page 384-392. ACM, (2019)Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity., , , , , , , and . CoRR, (2019)Automated accelerator optimization aided by graph neural networks., , , and . DAC, page 55-60. ACM, (2022)Code Recommendation for Open Source Software Developers., , , , and . CoRR, (2022)Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks., , , and . CoRR, (2021)Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching., , , , and . AAAI, page 3219-3226. AAAI Press, (2020)