BriefGPT.xyz
May, 2021
GraphFM:用于特征交互建模的图形因子分解机
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
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Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang
TL;DR
本论文提出了一种基于图形结构和 GNN 特征汇聚策略相结合的 Graph Factorization Machine 方法,可以在处理高维度稀疏数据时有效地建模任意高阶特征交互,并具有优异的预测准确性。
Abstract
factorization machine
(FM) is a prevalent approach to modeling pairwise (second-order)
feature interactions
when dealing with high-dimensional sparse data. However, on the one hand, FM fails to capture higher-ord
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