With these two modules, TrajGAT can capture the long-term dependencies of trajectories while reducing the GPU memory usage of Transformer. Our experiments on two real-life datasets show that TrajGAT not only improves the performance on long trajectories but also outperforms the state-of-the-art ...
By introducing the idea of residual connection and dense connection, the construction of deep graph convolutional neural network model is realized, which is used to capture the long-range dependency and non-local structural features between nodes. (2) We eliminate the limitation that conventional ...
33 proved that long-range dependencies are also important for action recognition. Compared with traditional deep neural networks, an ordinary GCN or a spatiotemporal GCN model significantly improves the resulting recognition accuracy. However, according to our analysis, the current mainstream models face...
BP-Transformer: Modelling Long-Range Context via Binary Partitioning.,Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang OptiMol: Optimization of Binding Affinities in Chemical Space for Drug Discovery,Jacques Boitreaud,Vincent Mallet, Carlos Oliver, Jérôme Waldispühl ...
摘要: Journal of Ambient Intelligence and Humanized Computing - The extraction of relationships between military entities and descriptive entities is a key task for automated construction of military...关键词: Relationship extraction Dependency tree Graph convolutional networks Natural language processing ...
加 beta 版 添加了 integerRange 复杂类型。 加 beta 版 添加了 print 实体。 加 beta 版 添加了 printConnector 实体。 加 beta 版 添加了 printDocument 实体。 加 beta 版 添加了 printer 实体。 加 beta 版 添加了 printerCapabilities 复杂类型。 加 beta 版 添加了 printerDefaults 复杂类型。 加 beta...
2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2022. Link Qi X, Mei G, Tu J, et al. A Deep Learning Approach for Long-term Traffic Flow Prediction with Multi-factor Fusion Using Spatiotemporal Graph ...
Second, since dependency arcs of the sentence are un-ordered, GCN is not aware of the order and absolute distance of context. Although this character enables GCN to capture long-range dependency, it also weakens the ability to learn local information, which we believe also contributes to our ...
Dependency updates: async-trait, chrono, wasmparser. 0.19.0 Skip trace_filter on empty blocks (#1923). Ensure runtime hosts are unique to avoid double-counting, improve logging (#1904). Add administrative Postgres views (#1889). Limit the GraphQL skip argument in the same way as we limit...
*O365 will automatically refresh the token for you on either authentication method. The refresh token lasts 90 days but it's refreshed on each connection so as long as you connect within 90 days you can have unlimited access. TheConnectionClass handles the authentication. ...