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Fairness-guided SMT-based Rectification of Decision Trees and Random Forests
Data-driven decision making is gaining prominence with the popularity of...
11/22/2020 ∙ by Jiang Zhang, et al. ∙
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Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
In computer science, there exist a large number of optimization problems...
04/14/2020 ∙ by Yaoxin Li, et al. ∙
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Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Network structures in various backgrounds play important roles in social...
01/18/2020 ∙ by Mengyuan Chen, et al. ∙
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Link Prediction via Deep Learning
Link prediction aims to infer the missing links or predicting future one...
10/10/2019 ∙ by Weiwei Gu, et al. ∙
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Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Many problems in real life can be converted to combinatorial optimizatio...
09/16/2019 ∙ by Jing Liu, et al. ∙
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A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
In this work, we present Gumbel Graph Network, a model-free deep learnin...
12/30/2018 ∙ by Zhang Zhang, et al. ∙
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Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Currently, explosive increase of smartphones with powerful built-in sens...
12/08/2018 ∙ by Yufeng Zhan, et al. ∙
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A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers
Autonomous path planning algorithms are significant to planetary explora...
11/23/2018 ∙ by Jiang Zhang, et al. ∙
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A Novel Deep Neural Network Architecture for Mars Visual Navigation
In this paper, emerging deep learning techniques are leveraged to deal w...
08/25/2018 ∙ by Jiang Zhang, et al. ∙
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Complex Network Classification with Convolutional Neural Network
Classifying large scale networks into several categories and distinguish...
02/02/2018 ∙ by Ruyue Xin, et al. ∙
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