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Learning Graph Representation With Generative Adversarial Nets

  • Published:2021-08-01 Issue:8 Volume:33 Page:3090-3103
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang HongweiORCID,Wang Jialin,Wang JiaORCID,Zhao Miao,Zhang WeinanORCID,Zhang Fuzheng,Li WenjieORCID,Xie Xing,Guo MinyiORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

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1. Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

2. CRTGAN: Controllable Road Network Graphs Generation via Transformer based GAN;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks;ACM Transactions on Architecture and Code Optimization;2024-05-21

4. Adversarial graph node classification based on unsupervised learning and optimized loss functions;Journal of Ambient Intelligence and Humanized Computing;2024-03-11

5. Collaborative Graph Neural Networks for Attributed Network Embedding;IEEE Transactions on Knowledge and Data Engineering;2024-03
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