Author

Zeng-Jun Li

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#graph neural networks Book Open access Nov 2026

FC-GNN: Unleashing Field Priors for Graph-based CTR Prediction

Graph Neural Networks (GNNs) have been adopted for click-through rate (CTR) prediction to explicitly capture and model feature interactions. However, existing graph evolution approaches with separate structural inference and feature aggregation face two key challenges in recommendation scenarios. On the one hand, recur...

Huan-Yu Liu, Hui Liu, Heng Xie et al. · Proceedings of the 35th ACM... · 0 citations

Jul 2026

PaletteID: Prototype-Composed Semantic Identifiers for Multimodal CTR Prediction

Inspired by palette-based color composition, PID uses a compact set of representative prototype items as semantic anchors to bridge pretrained multimodal content space and recommendation models and produces more robust identifier assignments and provides more interpretable token semantics than existing residual SID met...

Huan-Yu Liu, Baining Chen, Hui Liu et al. · arXiv.org · 0 citations