Mingde Zhao | DeepAI

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Qiang Zhang
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Alessandro Lazaric
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Ludovic Denoyer
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Marlos C. Machado
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∙ 12/21/2022

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks

The core operation of current Graph Neural Networks (GNNs) is the aggreg...

0 Sitao Luan, et al. ∙

∙ 10/14/2022

Revisiting Heterophily For Graph Neural Networks

Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...

27 Sitao Luan, et al. ∙

∙ 03/21/2022

Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL

In reinforcement learning, the graph Laplacian has proved to be a valuab...

0 Akram Erraqabi, et al. ∙

∙ 09/12/2021

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...

39 Sitao Luan, et al. ∙

∙ 06/03/2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

We present an end-to-end, model-based deep reinforcement learning agent ...

33 Mingde Zhao, et al. ∙

∙ 08/20/2020

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks

The core operation of Graph Neural Networks (GNNs) is the aggregation en...

4 Sitao Luan, et al. ∙

∙ 08/20/2020

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks

The performance limit of Graph Convolutional Networks (GCNs) and the fac...

7 Sitao Luan, et al. ∙

∙ 06/16/2020

META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning

Temporal-Difference (TD) learning is a standard and very successful rein...

0 Mingde Zhao, et al. ∙

∙ 10/15/2019

Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style

Image captioning is a research hotspot where encoder-decoder models comb...

0 Hongwei Ge, et al. ∙

∙ 06/05/2019

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks

Recently, neural network based approaches have achieved significant impr...

3 Sitao Luan, et al. ∙

∙ 04/25/2019

Faster and More Accurate Learning with Meta Trace Adaptation

Learning speed and accuracy are of universal interest for reinforcement ...

0 Mingde Zhao, et al. ∙

∙ 04/12/2019

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation

The infeasible parts of the objective space in difficult many-objective ...

15 Mingde Zhao, et al. ∙

∙ 12/17/2018

Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization

Out of practical concerns and with the expectation to achieve high overa...

0 Mingde Zhao, et al. ∙

∙ 03/03/2018

An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning

Researches have shown difficulties in obtaining proximity while maintain...

0 Hongwei Ge, et al. ∙

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