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Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning.

, , and . AAAI, page 3538-3545. AAAI Press, (2018)

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Self-Supervised Graph Representation Learning via Global Context Prediction, , , , and . arXiv:2003.01604 cs, stat, (March 2020)arXiv: 2003.01604.A new self-supervised task on graphs: Geodesic distance prediction., , , , and . Inf. Sci., (2022)RPC: Representative possible world based consistent clustering algorithm for uncertain data., , , , and . Comput. Commun., (2021)SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency., , , , and . CoRR, (2023)Simple yet Effective Gradient-Free Graph Convolutional Networks., , , , and . CoRR, (2023)Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution., , , and . CoRR, (2019)A Closer Look at Few-Shot Out-of-Distribution Intent Detection., , , , and . COLING, page 451-460. International Committee on Computational Linguistics, (2022)Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization., , , , , , and . NAACL-HLT, page 532-542. Association for Computational Linguistics, (2022)Neighborhood-based Hard Negative Mining for Sequential Recommendation., , , and . SIGIR, page 2042-2046. ACM, (2023)Correlation Matching Transformation Transformers for UHD Image Restoration., , , , , , , and . AAAI, page 5336-5344. AAAI Press, (2024)