Ye, Yanfang

Heterogeneous Graph Attention Network

Wang, X., Ji, H., Shi, C., Wang, B., Ye, Y., Cui, P., & Yu, P. S. (2019) · The World Wide Web Conference

Advanced Graph Neural NetworksGraph Theory and Algorithms

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TrustLLM: Trustworthiness in Large Language Models

Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

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MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zhang, Z., Wang, Z., Ma, T., Taneja, V. S., Nelson, S., Le, N. H. L., Murugesan, K., Ju, M., Chawla, N. V., Zhang, C., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

Recommender Systems and TechniquesInnovation in Digital Healthcare Systems

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NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning

Zhang, Z., Li, Y., Le, N. H. L., Wang, Z., Ma, T., Galassi, V., Murugesan, K., Moniz, N., Geyer, W., Chawla, N. V., et al. (2024) · arXiv

Advanced Graph Neural NetworksTopic Modeling

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