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Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
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Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders

Jinning Li
Huajie Shao
Dachun Sun
Ruijie Wang
Yuchen Yan
Jinyang Li
Shengzhong Liu
Hanghang Tong
Tarek Abdelzaher
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Papers citing "Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders"

4 / 4 papers shown
Title
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
Tianshi Wang
Jinyang Li
Ruijie Wang
Denizhan Kara
Shengzhong Liu
Davis Wertheimer
Antoni Viros i Martin
R. Ganti
Mudhakar Srivatsa
Tarek Abdelzaher
103
7
0
03 Feb 2024
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
Ruijie Wang
Baoyu Li
Yichen Lu
Dachun Sun
Jinning Li
Yuchen Yan
Shengzhong Liu
Hanghang Tong
Tarek Abdelzaher
73
5
0
13 Jun 2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
Ruijie Wang
Zheng Li
Jingfeng Yang
Tianyu Cao
Chao Zhang
Bing Yin
Tarek Abdelzaher
102
11
0
27 Mar 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
Kaizhong Zheng
Shujian Yu
Badong Chen
CML
125
33
0
04 Jan 2023