Hongxiang Lin

2025

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ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning.
Hongxiang Lin|Lei Wang|Huiying Hu|Xiaoqing Lyu
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line Graphs.
Hongxiang Lin|Yixiao Zhou|Huiying Hu|Xiaoqing Lyu
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Multi-Interest Matching for Personalized News Recommendation with Large Language Models.
Hongxiang Lin|Yixiao Zhou|Huiying Hu|Xiaoqing Lyu
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2023

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Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.
Han Liu|Hongxiang Lin|Xiaotong Zhang|Fenglong Ma|Hongyang Chen|Lei Wang|Hong Yu|Xianchao Zhang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
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Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning.
Hongxiang Lin|Ruiqi Jia|Xiaoqing Lyu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023