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Author

Weihao Han

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#graph neural networks Sep 2026

IMoKGNN: Dual-Stream Fusion of Generic and Task-Specific Language Model Features for Graph Neural Networks

Text-Attributed Graphs (TAGs) are prevalent in various real-world scenarios, where each node is associated with a text attribute. Representation learning on TAGs relies on a comprehensive understanding of both the textual attributes and the topological connections. Recent works have enhanced graph neural networks (GNNs...

Hao Yan, Chao-Zhuo Li, Jun Yin et al. · 0 citations
Book Open access Jul 2026

HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval

This work introduces HybridSparse, an end-to-end hybrid retrieval framework that strengthens sparse--dense interaction across modeling, training, and serving and adopts a unified encoder with a shared backbone and jointly optimizes lexical and semantic representations through co-training.

Haotong Bao, Jianjin Zhang, Weihao Han et al. · 0 citations

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