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Research Interests
I always envision the Graph Neural Networks (GNNs) deployed in real-world applications to be socially beneficial, accountable, and reliable to people. Correspondingly, my research interests are mainly in the trustworthiness of GNNs, e.g., algorithmic fairness and interpretability.
I always envision the Graph Neural Networks (GNNs) deployed in real-world applications to be socially beneficial, accountable, and reliable to people. Correspondingly, my research interests are mainly in the trustworthiness of GNNs, e.g., algorithmic fairness and interpretability.
研究兴趣
论文共 30 篇作者统计合作学者相似作者
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ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATAno. 3 (2024): 67:1-67:20
Advances in Knowledge Discovery and Data Mining Lecture Notes in Computer Sciencepp.352-363, (2024)
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023 (2023): 2259-2269
arxiv(2023)
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PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023 (2023): 942-952
PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023pp.5794-5795, (2023)
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