Zobrazeno 1 - 10
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pro vyhledávání: '"FANG QUAN"'
Direct Preference Optimization (DPO) is a method for enhancing model performance by directly optimizing for the preferences or rankings of outcomes, instead of traditional loss functions. This approach has proven effective in aligning Large Language
Externí odkaz:
http://arxiv.org/abs/2409.10571
Autor:
Chen, Dan, Zhang, Mengna, He, Yongtao, Wu, Shuyuan, Kuang, Junzhe, Zhang, Zixin, Xu, Biao, Fang, Quan
Publikováno v:
In Neuroscience 26 January 2025 565:247-256
Autor:
Zhu, Denghui, Ren, Jian, Li, Zhaozhen, Ma, Aiqing, Qin, Ruiqing, Chen, Shida, Fang, Quan, Xin, Feng, Liang, Ruijing, Liu, Lanlan, Cai, Lintao
Publikováno v:
In Cell Reports Physical Science 18 December 2024 5(12)
Autor:
Xu, Kangtai, Zhang, Mengna, Chen, Dan, Xu, Biao, Hu, Xuanran, Zhang, Qinqin, Zhang, Run, Zhang, Nan, Li, Ning, Fang, Quan
Publikováno v:
In Neuropharmacology 15 December 2024 261
Autor:
Tang, Honghai, Zhang, Ting, Feng, Jiamin, Zhang, Mengna, Xu, Biao, Zhang, Qinqin, Li, Ning, Zhang, Nan, Fang, Quan
Publikováno v:
In Neuropeptides December 2024 108
Publikováno v:
In Biomedical Signal Processing and Control February 2025 100 Part A
Graph Neural Networks (GNNs) have recently been utilized to build Collaborative Filtering (CF) models to predict user preferences based on historical user-item interactions. However, there is relatively little understanding of how GNN-based CF models
Externí odkaz:
http://arxiv.org/abs/2204.02338
Graph Neural Networks (GNNs) have achieved great success in processing graph data by extracting and propagating structure-aware features. Existing GNN research designs various propagation schemes to guide the aggregation of neighbor information. Rece
Externí odkaz:
http://arxiv.org/abs/2112.01110
In this paper, we present GRecX, an open-source TensorFlow framework for benchmarking GNN-based recommendation models in an efficient and unified way. GRecX consists of core libraries for building GNN-based recommendation benchmarks, as well as the i
Externí odkaz:
http://arxiv.org/abs/2111.10342
Autor:
Chen, Dan, Zhang, Mengna, Zhang, Qinqin, Wu, Shuyuan, Yu, Bowen, Zhang, Xiaodi, Hu, Xuanran, Zhang, Shichao, Yang, Zhenyun, Kuang, Junzhe, Xu, Biao, Fang, Quan
Publikováno v:
In European Journal of Pharmacology 15 April 2024 969