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Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via
  Dynamic Graph Neural Networks

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks

15 August 2023
Xiaolin Zheng
Zhongyu Wang
Chaochao Chen
Feng Zhu
Jiashu Qian
ArXivPDFHTML

Papers citing "Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks"

3 / 3 papers shown
Title
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
129
573
0
04 Jan 2021
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
64
638
0
18 Jun 2020
Reacting to Variations in Product Demand: An Application for Conversion
  Rate (CR) Prediction in Sponsored Search
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search
Marcelo Tallis
Pranjul Yadav
17
28
0
25 May 2018
1