Search Result

1

Vehicles trajectory prediction approach based on Transformer with edge update and multi-head attention interactive fusion

基于边更新与多头交互融合Transformer的车辆轨迹预测方法

Sun Ying

Wu Yanyong

Ding Derui

Zhang Jiankun

vehicle trajectory prediction

deep learning

transformer

multi-head attention mechanism

spatio-temporal feature integration

intelligent driving

Accepted Paper No. 8, 2025 : doi:10.19734/j.issn.1001-3695.2025.01.0017

2

Hierarchical reinforcement learning knowledge reasoning method integrating Bi-LSTM and multi-head attention

融合Bi-LSTM与多头注意力的分层强化学习推理方法

Li Weijun

Liu Shixia

Liu Xueyang

Ding Jianping

Su Yilei

Wang Ziyi

knowledge reasoning

layered reinforcement learning

Bi-LSTM

multi-head attention mechanism

No. 1, 2025 : 71-77 doi:10.19734/j.issn.1001-3695.2024.06.0197

3

Traffic flow prediction model based on combining periodic graph convolution network and multi-head attention GRU

基于周期图卷积与多头注意力GRU组合的交通流量预测模型

Zhong Linlan

Zhang Anqin

Tian Xiuxia

traffic flow prediction

graph convolutional network(GCN)

multi-head attention mechanism

gated recurrent unit(GRU)

gated fusion mechanism

spatial-temporal fusion

No. 4, 2024 : 1041-1046 doi:10.19734/j.issn.1001-3695.2023.08.0362

4

Information diffusion prediction based on hypergraph attention mechanism and graph convolution network

融合超图注意力机制与图卷积网络的信息扩散预测

Miao Chenxiang

Liu Xiaoyang

hypergraph

graph convolutional network

gating mechanism

multi-head attention mechanism

diffusion prediction

No. 6, 2023 : 1715-1720 doi:10.19734/j.issn.1001-3695.2022.10.0510

5

xDeepFM recommendation model based on multi-head attention mechanism and location information

基于多头注意力机制和位置信息的xDeepFM推荐模型

Niu Lushuai

Peng Yan

recommendation algorithm

deep learning

location information

multiple attention mechanism

xDeepFM

No. 10, 2021 : 3055-3059 doi:10.19734/j.issn.1001-3695.2021.03.0088

6

Social network sign prediction based on multi-head attention mechanism

基于多头注意力机制的社交网络符号预测

Yan Shixiong

Zhu Yan

Li Chunping

signed network

network representation learning

multi-head attention mechanism

neighbor sampling

No. 5, 2021 : 1360-1364 doi:10.19734/j.issn.1001-3695.2020.07.0180

7

Clustering optimization recommendation algorithm for multi-head attention comment quantization

多头注意力评论量化的聚类优化推荐算法

Qiu Ningjia

Wang Xianyong

Wang Peng

recommendation algorithm

comment on quantitative models

multi-head attention mechanism

differential evolution algorithm

clustering optimization

No. 5, 2021 : 1376-1380 doi:10.19734/j.issn.1001-3695.2020.05.0125

Search multi-head attention mechanism

Searchmulti-head attention mechanismreturned 7 results

Vehicles trajectory prediction approach based on Transformer with edge update and multi-head attention interactive fusion

Hierarchical reinforcement learning knowledge reasoning method integrating Bi-LSTM and multi-head attention

Traffic flow prediction model based on combining periodic graph convolution network and multi-head attention GRU

Information diffusion prediction based on hypergraph attention mechanism and graph convolution network

xDeepFM recommendation model based on multi-head attention mechanism and location information

Social network sign prediction based on multi-head attention mechanism

Clustering optimization recommendation algorithm for multi-head attention comment quantization