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Generative Adversarial Nets for Information Retrieval: Fundamentals and
  Advances

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

10 June 2018
Weinan Zhang
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances"

3 / 3 papers shown
SigGAN : Adversarial Model for Learning Signed Relationships in Networks
SigGAN : Adversarial Model for Learning Signed Relationships in NetworksACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Roshni Chakraborty
Ritwika Das
Joydeep Chandra
GAN
300
9
0
17 Jan 2022
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future DirectionsACM Computing Surveys (ACM CSUR), 2020
Divya Saxena
Jiannong Cao
AAMLAI4CE
765
434
0
30 Apr 2020
Recommender Systems Based on Generative Adversarial Networks: A
  Problem-Driven Perspective
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven PerspectiveInformation Sciences (Inf. Sci.), 2020
Min Gao
Junwei Zhang
Junliang Yu
Jundong Li
Junhao Wen
Qingyu Xiong
233
74
0
05 Mar 2020
1
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