Sitao Luan | DeepAI

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∙ 06/22/2023

On Addressing the Limitations of Graph Neural Networks

This report gives a summary of two problems about graph convolutional ne...

0 Sitao Luan, et al. ∙

∙ 04/28/2023

MUDiff: Unified Diffusion for Complete Molecule Generation

We present a new model for generating molecular data by combining discre...

11 Chenqing Hua, et al. ∙

∙ 04/25/2023

When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability

Homophily principle, i.e. nodes with the same labels are more likely to ...

27 Sitao Luan, et al. ∙

∙ 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. ∙

∙ 10/30/2022

When Do We Need GNN for Node Classification?

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

1 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. ∙

∙ 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. ∙

∙ 09/19/2019

Revisit Policy Optimization in Matrix Form

In tabular case, when the reward and environment dynamics are known, pol...

1 Sitao Luan, 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. ∙

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