Causality-based CTR Prediction using Graph Neural Networks

30 January 2023

Papers citing "Causality-based CTR Prediction using Graph Neural Networks"

9 / 9 papers shown

Title
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 34 1 0 29 Nov 2023
Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda Yanwu Yang Huiran Li 6 12 0 24 Feb 2023
Keyword Targeting Optimization in Sponsored Search Advertising: Combining Selection and Matching Huiran Li Yanwu Yang 12 9 0 19 Oct 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 45 94 0 22 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 99 223 0 30 Jan 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 32 0 25 Jan 2022
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 18 3 0 26 Sep 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 56 71 0 18 Oct 2020
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He Zhenhua Dong 107 64 0 12 Apr 2018