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Improving Issue-PR Link Prediction via Knowledge-Aware Heterogeneous Graph Learning.

, , , и . IEEE Trans. Software Eng., 50 (7): 1901-1920 (июля 2024)

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Huangdong Dai

Jing Dai

Yangguang Dai

Min Dai

Pengyu Dai

 

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Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information., и . IEEE Trans. Knowl. Data Eng., 35 (7): 7103-7117 (июля 2023)Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network., , , , , и . CoRR, (2021)Unsupervised Image Super-Resolution with an Indirect Supervised Path., , , , , , , , , и . CVPR Workshops, стр. 1924-1933. Computer Vision Foundation / IEEE, (2020)Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features., , , и . WSDM, стр. 1433-1442. ACM, (2022)Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series., и . ICLR, OpenReview.net, (2022)Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks., , , , , и . CoRR, (2024)A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy., , , , , , , и . KDD, стр. 368-379. ACM, (2023)Labeled Data Generation with Inexact Supervision., , , и . KDD, стр. 218-226. ACM, (2021)Label-Wise Graph Convolutional Network for Heterophilic Graphs., , , и . LoG, том 198 из Proceedings of Machine Learning Research, стр. 26. PMLR, (2022)Learning Graph Filters for Spectral GNNs via Newton Interpolation., , , , и . CoRR, (2023)