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Learning from the Dark: Boosting Graph Convolutional Neural Networks
  with Diverse Negative Samples

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

AAAI Conference on Artificial Intelligence (AAAI), 2022
3 October 2022
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
    SSL
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Papers citing "Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples"

4 / 4 papers shown
Diverse Negative Sampling for Implicit Collaborative Filtering
Diverse Negative Sampling for Implicit Collaborative Filtering
Yueqing Xuan
Kacper Sokol
Mark Sanderson
Jeffrey Chan
141
0
0
20 Aug 2025
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan
Jie Lu
Junyu Xuan
291
19
0
17 Apr 2024
Balancing Augmentation with Edge-Utility Filter for Signed GNNs
Balancing Augmentation with Edge-Utility Filter for Signed GNNs
Ke-Jia Chen
Yaming Ji
Youran Qu
Chuhan Xu
154
0
0
25 Oct 2023
Graph Convolutional Neural Networks with Diverse Negative Samples via
  Decomposed Determinant Point Processes
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
312
21
0
05 Dec 2022
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