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MTGCN: A multi-task approach for node classification and link prediction in graph data.

, , , , и . Inf. Process. Manag., 59 (3): 102902 (2022)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

Jinjin Wu

Changzhu Wu

Haiyan Wu

 

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A noise-resistant graph neural network by semi-supervised contrastive learning., , , , и . Inf. Sci., (февраля 2024)Information Augmentation for Few-shot Node Classification., , , , , , и . IJCAI, стр. 3601-3607. ijcai.org, (2022)Adaptive Multi-Modality Prompt Learning., , , , , и . CoRR, (2023)Multiplex Graph Representation Learning via Common and Private Information Mining., , , , , и . AAAI, стр. 9217-9225. AAAI Press, (2023)Multi-scale graph classification with shared graph neural network., , , , и . World Wide Web (WWW), 26 (3): 949-966 (мая 2023)MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning., , , , , и . CoRR, (2023)Totally Dynamic Hypergraph Neural Networks., , , , , и . IJCAI, стр. 2476-2483. ijcai.org, (2023)MTGCN: A multi-task approach for node classification and link prediction in graph data., , , , и . Inf. Process. Manag., 59 (3): 102902 (2022)Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels., , , , , , и . ACM Multimedia, стр. 2946-2954. ACM, (2023)Self-Training Based Few-Shot Node Classification by Knowledge Distillation., , , , и . AAAI, стр. 15988-15995. AAAI Press, (2024)