From post

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

, , , , , , и . 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

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Semi-supervised Multi-label Learning for Graph-structured Data., , , и . CIKM, стр. 1723-1733. ACM, (2021)MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding., , , и . WWW, стр. 2331-2341. ACM / IW3C2, (2020)Modeling Scale-free Graphs for Knowledge-aware Recommendation., , , , , , и . CoRR, (2021)A Diffusion-Based Pre-training Framework for Crystal Property Prediction., , и . AAAI, стр. 8993-9001. AAAI Press, (2024)FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding., , и . CoRR, (2021)A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges., , , и . IJCAI, стр. 6723-6731. ijcai.org, (2023)Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction., , , и . IJCAI, стр. 4064-4072. ijcai.org, (2023)Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping., , , , , , , , , и 2 other автор(ы). CoRR, (2024)Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation, , , , , , и . 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)FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding., , и . ICDM, стр. 731-740. IEEE, (2020)