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Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs., , , , , , и . CoRR, (2020)Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution., , , , , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 330-346. Springer, (2020)Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization., , , , , , , и . CIKM, стр. 1366-1375. ACM, (2021)Unsupervised Concept Representation Learning for Length-Varying Text Similarity., , , , , и . NAACL-HLT, стр. 5611-5620. Association for Computational Linguistics, (2021)Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series., , , , , , , , и . AAAI, стр. 1395-1402. AAAI Press, (2020)Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection., , , , , и . CoRR, (2020)Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization., , , , , , и . CoRR, (2023)Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings., , , , , , и . ICLR, OpenReview.net, (2022)Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection., , , , , и . ACM Multimedia, стр. 5546-5554. ACM, (2021)Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model., , , , , и . BMC Bioinform., (2016)