Gallian A A.Dynamic survey of graph labeling. The E-lectronic Journal of Combinatorics . 2000Gallian A A. Dynamic survey of graph labeling[J].Electronic Journal of Combinatorics 2000,6.J. A. Gallian, "A Dynamic Survey of Graph Labeling," Electronic Journal of Combinatorics, Vol. 17, No. ...
Survey Papers 2025 Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding (WSDM, 2025) [paper][code] 2024 2023 2022 2021 2020 2019 2018 2017 Knowledge Graph DGL-KE OpenKE RecBole About deep-learninggraph-neural-networksgraph-neural-networktemporal-networkdynamic-network-embeddingdy...
Knowledge Graph Embedding Static Graph Embedding Survey Others Useful Libararies Temporal Knowledge Graph Completion / Reasoning Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. EMNLP 2020. ...
Furthermore, integrating both temporal and spatial correlations of rs-fMRI regional time-series signals into a brain-graph adjacency matrix, a spatio-temporal GCN was proposed to predict gender and age, outperforming other approaches such as MLP (Gadgil et al., 2020). Also, the pairwise-...
We contribute: (i) a comprehensive dynamic network taxonomy, (ii) a survey of dynamic graph neural networks and (iii) an overview of how dynamic graph neural networks can be used for dynamic link prediction. 展开 DOI: 10.1109/ACCESS.2021.3082932 年份: 2020 ...
γ-aminobutyric acid (GABA) inhibitory interneurons play a key role in efferent and afferent control of principle neuron activity in the prefrontal cortex (PFC), thereby regulating signal integrity of cognitive and behavioral processes. Recent evidence s
时空网络(拓扑是静态的,只有节点或边缘特征改变[14]的图(structure RNN))不在本研究的范围内,时空图神经网络[14],[15](Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting)也不在本研究的范围内。 与gnn和其他表示学习模型一样,dgnn是通用的,可以应用于各种任务。使...
for determining the spatial distribution of gene expression during the regenerative process, previous studies mainly employed the in situ hybridization based staining approaches, which are laborious and low-throughput. A high-throughput survey of the spatiotemporal landscape of both the gene expression pat...
We may be the first to study the impact of ground-optimization and moving object segmentation for the odometry method based on direct point cloud registration. Finally, in the back-end, we use a factor graph to fuse the relative measurements of LiDAR and IMU with the absolute positions of ...
To address this issue from the perspective of improving the ability to extract temporal and spatial features, we propose a dynamic graph convolution-based spatio-temporal feature network (DG-STFN) model. Our model contains two major components, one is the dynamic graph generation module, which ...