Search Results for author: Ziwei Zhang

Found 12 papers, 7 papers with code

AutoGL: A Library for Automated Graph Learning

1 code implementation11 Apr 2021 Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

To fill this gap, we present Automated Graph Learning (AutoGL), the first library for automated machine learning on graphs.

AutoML Feature Engineering +1

Automated Machine Learning on Graphs: A Survey

1 code implementation1 Mar 2021 Ziwei Zhang, Xin Wang, Wenwu Zhu

Machine learning on graphs has been extensively studied in both academic and industry.

Graph Learning Neural Architecture Search

Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network

no code implementations7 Feb 2021 Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

In this paper, we propose a novel Heterogeneous graph neural network framework for diversified recommendation (GraphDR) in matching to improve both recommendation accuracy and diversity.

Graph Attention Recommendation Systems

A Simple and General Graph Neural Network with Stochastic Message Passing

no code implementations5 Sep 2020 Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

Specifically, we augment the existing GNNs with stochastic node representations learned to preserve node proximities.

Link Prediction Node Classification

Asymmetric Transitivity Preserving Graph Embedding

1 code implementation ‏‏‎ ‎ 2020 Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu

In particular, we develop a novel graph embedding algorithm, High-Order Proximity preserved Embedding (HOPE for short), which is scalable to preserve high-order proximities of large scale graphs and capable of capturing the asymmetric transitivity.

Graph Embedding Link Prediction

Correlating Edge, Pose with Parsing

1 code implementation CVPR 2020 Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie

Compared with the existing practice of feature concatenation, we find that uncovering the correlation among the three factors is a superior way of leveraging the pivotal contextual cues provided by edges and poses.

Human Parsing

Deep Learning on Graphs: A Survey

1 code implementation11 Dec 2018 Ziwei Zhang, Peng Cui, Wenwu Zhu

Recently, substantial research efforts have been devoted to applying deep learning methods to graphs, resulting in beneficial advances in graph analysis techniques.

A Note on Spectral Clustering and SVD of Graph Data

no code implementations27 Sep 2018 Ziwei Zhang

Spectral clustering and Singular Value Decomposition (SVD) are both widely used technique for analyzing graph data.

Billion-scale Network Embedding with Iterative Random Projection

2 code implementations7 May 2018 Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently.

Distributed Computing Link Prediction +2

Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking

no code implementations12 Apr 2018 Cong Ma, Changshui Yang, Fan Yang, Yueqing Zhuang, Ziwei Zhang, Huizhu Jia, Xiaodong Xie

In this paper, we propose a novel tracklet processing method to cleave and re-connect tracklets on crowd or long-term occlusion by Siamese Bi-Gated Recurrent Unit (GRU).

Autonomous Driving Multi-Object Tracking +1

TIMERS: Error-Bounded SVD Restart on Dynamic Networks

1 code implementation27 Nov 2017 Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

By setting a maximum tolerated error as a threshold, we can trigger SVD restart automatically when the margin exceeds this threshold. We prove that the time complexity of our method is linear with respect to the number of local dynamic changes, and our method is general across different types of dynamic networks.

Social and Information Networks

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