Wentao Zhang | DeepAI

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Yu Zhang
406 publications
Qi Zhang
242 publications
Jie Xu
169 publications
Jure Leskovec
142 publications
Jiawei Han
140 publications
Lei Chen
128 publications
Hongzhi Yin
105 publications
Tong Chen
78 publications
Qi Zhu
75 publications
Fei Sun
51 publications
Jun Gao
47 publications

∙ 08/31/2023

Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor

Safe corridor-based Trajectory Optimization (TO) presents an appealing a...

0 Shaohang Xu, et al. ∙

∙ 08/04/2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs

Graph Neural Networks (GNNs) conduct message passing which aggregates lo...

0 Ling Yang, et al. ∙

∙ 07/29/2023

Graph Condensation for Inductive Node Representation Learning

Graph neural networks (GNNs) encounter significant computational challen...

0 Xinyi Gao, et al. ∙

∙ 06/28/2023

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization

Out-of-distribution (OOD) graph generalization are critical for many rea...

0 Ling Yang, et al. ∙

∙ 05/20/2023

Patton: Language Model Pretraining on Text-Rich Networks

A real-world text corpus sometimes comprises not only text documents but...

0 Bowen Jin, et al. ∙

∙ 04/08/2023

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Recent advancements in Natural Language Processing (NLP) have led to the...

0 Jinming Li, et al. ∙

∙ 03/07/2023

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs

Maximal biclique enumeration is a fundamental problem in bipartite graph...

0 Ziqi Yin, et al. ∙

∙ 02/27/2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Heterogeneous graph neural networks (HGNNs) have exhibited exceptional e...

0 Xinyi Gao, et al. ∙

∙ 11/01/2022

Efficient Graph Neural Network Inference at Large Scale

Graph neural networks (GNNs) have demonstrated excellent performance in ...

0 Xinyi Gao, et al. ∙

∙ 11/01/2022

Distributed Graph Neural Network Training: A Survey

Graph neural networks (GNNs) are a type of deep learning models that lea...

0 Yingxia Shao, et al. ∙

∙ 09/02/2022

Diffusion Models: A Comprehensive Survey of Methods and Applications

Diffusion models are a class of deep generative models that have shown i...

256 Ling Yang, et al. ∙

∙ 06/09/2022

Model Degradation Hinders Deep Graph Neural Networks

Graph Neural Networks (GNNs) have achieved great success in various grap...

0 Wentao Zhang, et al. ∙

∙ 03/02/2022

Information Gain Propagation: a new way to Graph Active Learning with Soft Labels

Graph Neural Networks (GNNs) have achieved great success in various task...

0 Wentao Zhang, et al. ∙

∙ 03/01/2022

Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue

Selecting an appropriate response from many candidates given the utteran...

0 Wentao Zhang, et al. ∙

∙ 12/26/2021

K-Core Decomposition on Super Large Graphs with Limited Resources

K-core decomposition is a commonly used metric to analyze graph structur...

0 Shicheng Gao, et al. ∙

∙ 12/26/2021

Efficient Diversity-Driven Ensemble for Deep Neural Networks

The ensemble of deep neural networks has been shown, both theoretically ...

16 Wentao Zhang, et al. ∙

∙ 10/28/2021

RIM: Reliable Influence-based Active Learning on Graphs

Message passing is the core of most graph models such as Graph Convoluti...

0 Wentao Zhang, et al. ∙

∙ 08/23/2021

Graph Attention Multi-Layer Perceptron

Graph neural networks (GNNs) have recently achieved state-of-the-art per...

0 Wentao Zhang, et al. ∙

∙ 08/02/2021

Evaluating Deep Graph Neural Networks

Graph Neural Networks (GNNs) have already been widely applied in various...

0 Wentao Zhang, et al. ∙

∙ 11/04/2020

Graph Neural Networks in Recommender Systems: A Survey

With the explosive growth of online information, recommender systems pla...

0 Shiwen Wu, et al. ∙

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