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Towards generalizable Graph Contrastive Learning: An information theory perspective 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 17
作者:  Yuan, Yige;  Xu, Bingbing;  Shen, Huawei;  Cao, Qi;  Cen, Keting;  Zheng, Wen;  Cheng, Xueqi
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Graph Contrastive Learning  Generalization  Information theory  
Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree 期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 12
作者:  Li, Jianbo;  Lv, Zhiqiang;  Ma, Zhaobin;  Wang, Xiaotong;  Xu, Zhihao
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Intelligent transportation system  Taxi demand  Graph structure  Tree structure  Multiple factors  
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1356-1370
作者:  Feng, Wenjie;  Liu, Shenghua;  Koutra, Danai;  Cheng, Xueqi
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Approximation algorithms  Image edge detection  Heuristic algorithms  Greedy algorithms  Optimization  Collaboration  Task analysis  Algorithm  anomaly detection  dense subgraph  graph spectral theory  large graph mining  
GJFusion: A Channel-Level Correlation Construction Method for Multimodal Physiological Signal Fusion 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 23
作者:  Huang, Wuliang;  Chen, Yiqiang;  Jiang, Xinlong;  Zhang, Teng;  Chen, Qian
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Multimodal  physiological signal  graph neural network  emotion state recognition  ubiquitous computing  
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Accelerator  output activation  prediction  sparse convolutional neural network  
Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan;  Tian, Qi;  Huang, Qingming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition  
TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction 期刊论文
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 卷号: 177, 页码: 16
作者:  Lv, Yang;  Lv, Zhiqiang;  Cheng, Zesheng;  Zhu, Zhanqi;  Rashidi, Taha Hossein
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism  
DRONE: An Efficient Distributed Subgraph-Centric Framework for Processing Large-Scale Power-law Graphs 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 2, 页码: 463-474
作者:  Zhang, Shuai;  Jiang, Zite;  Hou, Xingzhong;  Li, Mingyu;  Yuan, Mengting;  You, Haihang
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Fault tolerance  graph partition  large-scale power-law graph  parallel graph computation  subgraph-centric model  
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文
CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272
作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network