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Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

Y. Chen, M. Yang, Y. Zhang, M. Zhao, Z. Meng, J. Hao, и I. King. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, стр. 94–102. New York, NY, USA, Association for Computing Machinery, (15.02.2022)
DOI: 10.1145/3488560.3498419

Please choose a person to relate this publication to

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Meng Meng

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Matthias Meng

Nan Meng

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Semi-supervised Multi-label Learning for Graph-structured Data.Z. Song, Z. Meng, Y. Zhang, и I. King. CIKM, стр. 1723-1733. ACM, (2021)MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding.X. Fu, J. Zhang, Z. Meng, и I. King. WWW, стр. 2331-2341. ACM / IW3C2, (2020)Modeling Scale-free Graphs for Knowledge-aware Recommendation.Y. Chen, M. Yang, Y. Zhang, M. Zhao, Z. Meng, J. Hao, и I. King. CoRR, (2021)A Diffusion-Based Pre-training Framework for Crystal Property Prediction.Z. Song, Z. Meng, и I. King. AAAI, стр. 8993-9001. AAAI Press, (2024)FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.M. Yang, Z. Meng, и I. King. CoRR, (2021)Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction.Z. Meng, P. Zhao, Y. Yu, и I. King. IJCAI, стр. 4064-4072. ijcai.org, (2023)A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges.Z. Meng, P. Zhao, Y. Yu, и I. King. IJCAI, стр. 6723-6731. ijcai.org, (2023)FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.M. Yang, Z. Meng, и I. King. ICDM, стр. 731-740. IEEE, (2020)Graph-adaptive Rectified Linear Unit for Graph Neural Networks.Y. Zhang, H. Zhu, Z. Meng, P. Koniusz, и I. King. WWW, стр. 1331-1339. ACM, (2022)Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction.Z. Meng, Y. Li, P. Zhao, Y. Yu, и I. King. SDM, стр. 811-819. SIAM, (2023)

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