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Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features., , , , , , и . CoRR, (2021)Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs., , , , , , , , и . ECML/PKDD (3), том 14171 из Lecture Notes in Computer Science, стр. 157-173. Springer, (2023)Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features., , , , , , и . ICLR, OpenReview.net, (2022)Relational Graph Neural Networks for Fraud Detection in a Super-App environment., , , , , , и . CoRR, (2021)Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation., , , и . CoRR, (2021)PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction., , , , , , и . WWW, стр. 3784-3793. ACM, (2023)TempoQR: Temporal Question Reasoning over Knowledge Graphs., , , , , , , и . CoRR, (2021)ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning., , , , , и . LoG, том 198 из Proceedings of Machine Learning Research, стр. 35. PMLR, (2022)OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization., , , , , , , , , и . CoRR, (2023)NetInfoF Framework: Measuring and Exploiting Network Usable Information., , , , , , , и . CoRR, (2024)