近日,我校信电学院引进优秀人才贾璐副教授在国际人工智能联合会议(International Joint Conference on Artificial Intelligence, IJCAI 2024)、知识系统 (Knowledge-based Systems)上先后发表图神经网络领域研究论文:(1) 图神经网络核聚合方法研究 (Kernel Readout for Graph Neural Networks, IJCAI)、(2) 多级标签图自适应学习方法研究 (MLGAL: Multi-level Label Graph Adaptive Learning for node clustering in the attributed graph, KBS)、(3) 度感知异质图神经网络研究 (DAHGN: Degree-Aware Heterogeneous Graph Neural Network, KBS)。IJCAI和Knowledge-based Systems分别是人工智能领域的国际顶级学术会议和国际权威期刊。
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论文链接: https://www.researchgate.net/publication/381227569 https://www.sciencedirect.com/science/article/pii/S0950705123011036 https://www.sciencedirect.com/science/article/pii/S0950705123006263
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