To recover the loss of accuracy, we propose an innovative hierarchical temporal aggregation network (HT-AggNet) that allows the network architecture to be deeper, leading to an accuracy gain with only a near-zer
A better way to look into the past is to use attention modules to summarize all past encoded vectors into a context vector Ct. Notice there is a hierarchy of attention modules here, very similar to the hierarchy of neural networks. This is also similar toTemporal convolutional network (TCN),...
We propose a hierarchical transformer encoder that incorporates multi-scale spatio-temporal attention. We use multi-scale feature maps, i.e., leverage all layers’ attention maps, and improve performance on benchmarks that provide sparse supervision. ...
The hierarchical attention networks [26–28] are designed to handle related problems of temporal recommendation. Moreover, neural attention networks [15,29,30] are also proposed to address various difficult challenges in deep learning. Show abstract Multi-objective prediction intervals for wind power ...
This is the source code for ECML-PKDD 2020 paper "Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN". Overview The novel dynamic heterogeneous network embedding method, termed as DyHATR, which uses hierarchical attention (HAT) to learn heterogeneou...
Graph Recurrent Network 接下来,论文提出了 GRN 模块来替换前面 HMT-RN 模型中的 LSTM,增加对全局 POI-POI 关系的学习。 在现有的工作中,递归模型(如 LSTM)被证明在学习每个用户 POI 序列的顺序依赖关系方面是有效的,然而,与图神经网络(例如,GAT)相比,它并没有直接学习全局 POI-POI 关系。另一方面 GAT 也无...
1a). We derive a recurrent neural network model that not only implements the proposed online hierarchical inference model, but shares many properties with motion-sensitive middle temporal area (MT)21 and dorsal medial superior temporal area (MSTd)19,32. The network model in turn allows us to ...
【略读论文|时序知识图谱补全】Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion2023-11-27 收起 会议:WWW,时间:2023,学校:东北大学计算机与通信工程学院 摘要: 目前TKGC模型存在的问题:只考虑实体或关系的结构信息,而忽略了整个TKG的结构信息。此外,它们中的大多数通常将时间戳...
Hamel P, Lemieux S, Bengio Y, Eck D (2011) Temporal pooling and multiscale learning for automatic annotation and ranking of music audio. In: Proceedings of the 12th conference of the international society for music information retrieval (ISMIR), pp 729–734 He K, Zhang X, Ren S, Sun J...
Action Transformer: A self-attention model for short-time pose-based human action recognition 2022, Pattern Recognition Citation Excerpt : Hao et al. [37] introduced knowledge distillation and dense-connectivity to explore the spatiotemporal interactions between appearance and motion streams along differen...