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A new self-supervised task on graphs: Geodesic distance prediction., , , , и . Inf. Sci., (2022)Simple yet Effective Gradient-Free Graph Convolutional Networks., , , , и . CoRR, (2023)A Closer Look at Few-Shot Out-of-Distribution Intent Detection., , , , и . COLING, стр. 451-460. International Committee on Computational Linguistics, (2022)Neighborhood-based Hard Negative Mining for Sequential Recommendation., , , и . SIGIR, стр. 2042-2046. ACM, (2023)Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification., , , , , , и . ACL, стр. 1050-1060. Association for Computational Linguistics, (2020)Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization., , , , , , и . NAACL-HLT, стр. 532-542. Association for Computational Linguistics, (2022)Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification., , и . CoRR, (2024)Structure-aware Semantic Node Identifiers for Learning on Graphs., , , и . CoRR, (2024)High-level Codes and Fine-grained Weights for Online Multi-modal Hashing Retrieval., , , , и . CoRR, (2024)Weakly-Supervised Online Hashing with Refined Pseudo Tags., , , , , , и . CIKM, стр. 375-385. ACM, (2022)