Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed

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Yang Yang,Wei Xue,Huan Wang,Lin Zhang,Xianyao Gu,Min Sun

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Yuxuan Liu,Jianxiong Zhang,Xuefeng Ding,Bing Guo,Dasha Hu,Yuming Jiang

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Jicheng Yu,Zefeng Feng,Jiawei Li,Yixiu Qin,Yuncheng Jiang

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GCCR: GAT-Based Category-Aware Course Recommendationes. Finally, to improve model convergence stability, we introduce the weighted dual prediction, assigning distinct weights to the losses of GCCR and its GAT-less variant to train simultaneously, named GCCR + D. Extensive experiments on real-world datasets from two different periods demonstrate the e

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Enhancing Question Embedding with?Relation Chain for?Multi-hop KGQAuently, this aligned question embedding, along with the embeddings of relevant candidate relations, is fed into a transformer encoder. Through an attention mechanism, the semantic information of the question is further integrated with the embedding information of the relation chain. This results in