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Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks., , , , , , и . IEEE Trans. Knowl. Data Eng., 34 (9): 4201-4214 (2022)Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks., , , , , , , и . ACM Trans. Inf. Syst., 41 (3): 58:1-58:24 (2023)A comparative study on network alignment techniques., , , , , , и . Expert Syst. Appl., (2020)Network Alignment with Holistic Embeddings (Extended Abstract)., , , , , , и . ICDE, стр. 1509-1510. IEEE, (2022)A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures., , , , , , и . CoRR, (2024)Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract)., , , , , , и . ICDE, стр. 2323-2324. IEEE, (2021)A Java library for Constraint-Based Local Search: Application to the master thesis defense timetabling problem., , , и . SoICT, стр. 67-74. ACM, (2015)Validating functional redundancy with mixed generative adversarial networks., , , , , и . Knowl. Based Syst., (марта 2023)A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting., , , , , и . ACIIDS (2), том 13758 из Lecture Notes in Computer Science, стр. 26-39. Springer, (2022)Scalable maximal subgraph mining with backbone-preserving graph convolutions., , , , , , и . Inf. Sci., (октября 2023)