Search Results for author: Jiawei Zhu

Found 11 papers, 5 papers with code

Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions

1 code implementation10 Oct 2022 Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao

Community Detection algorithms are used to detect densely connected components in complex networks and reveal underlying relationships among components.

Community Detection Decision Making +1

Curvature Graph Neural Network

no code implementations30 Jun 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu

And we propose Curvature Graph Neural Network (CGNN), which effectively improves the adaptive locality ability of GNNs by leveraging the structural property of graph curvature.

Node Classification

Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks

no code implementations2 Mar 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Qing Zhu, Guohua Wu

A class of GNNs solves this problem by learning implicit weights to represent the importance of neighbor nodes, which we call implicit GNNs such as Graph Attention Network.

Graph Attention

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

1 code implementation26 Nov 2020 Jiawei Zhu, Xin Han, Hanhan Deng, Chao Tao, Ling Zhao, Pu Wang, Lin Tao, Haifeng Li

On this background, this study presents a knowledge representation-driven traffic forecasting method based on spatial-temporal graph convolutional networks.

Knowledge Graphs Representation Learning

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

no code implementations28 Sep 2020 Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao

On the one hand, RS-MetaNet raises the level of learning from the sample to the task by organizing training in a meta way, and it learns to learn a metric space that can well classify remote sensing scenes from a series of tasks.

General Classification Metric Learning +1

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

2 code implementations20 Jun 2020 Jiawei Zhu, Yujiao Song, Ling Zhao, Haifeng Li

In this study, an attention temporal graph convolutional network (A3T-GCN) traffic forecasting method was proposed to simultaneously capture global temporal dynamics and spatial correlations.

Time Series

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

3 code implementations22 Oct 2018 Enqiang Guo, Xinsha Fu, Jiawei Zhu, Min Deng, Yu Liu, Qing Zhu, Haifeng Li

A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to define and measure since the noisy changes and semantic ones are entangled.

Change Detection Scene Change Detection

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