Knowledge graphs are involved in more and more applications to further improve intelligence.Owing to the inherent incompleteness of knowledge graphs resulted from data updating and missing,a number of knowledge graph ...Knowledge graphs are involved in more and more applications to further improve intelligence.Owing to the inherent incompleteness of knowledge graphs resulted from data updating and missing,a number of knowledge graph completion models are proposed in succession.To obtain better performance,many methods are of high complexity,making it time-consuming for training and inference.This paper proposes a simple but e®ective model using only shallow neural networks,which combines enhanced feature interaction and multi-subspace information integration.In the enhanced feature interaction module,entity and relation embeddings are almost peer-to-peer interacted via multi-channel 2D convolution.In the multi-subspace information integration module,entity and relation embeddings are projected to multiple subspaces to extract multi-view information to further boost performance.Extensive experiments on widely used datasets show that the proposed model outperforms a series of strong baselines.And ablation studies demonstrate the e®ectiveness of each submodule in the model.展开更多
This paper investigates the robust flocking problem for second-order nonlinear systems with a leader and external disturbances.In contrast with most of second-order systems in the literature,the intrinsic dynamics her...This paper investigates the robust flocking problem for second-order nonlinear systems with a leader and external disturbances.In contrast with most of second-order systems in the literature,the intrinsic dynamics here are nonlinear and non-identical that depend not only on the velocity but also on the position,which is more realistic.Moreover,the interaction topology is undirected and switching.Provided that the leader’s velocity may be constant or time-varying,two distributed flocking control laws have been proposed for two cases to make the differences of the velocities between all followers and the leader approach to zero asymptotically.The proposed distributed flocking control laws are both model-independent which results in the effectiveness of the controllers to cope with the different intrinsic dynamics of the followers and the leader under some assumptions on boundedness of several states.An example is given to illustrate the validity of the theoretical results.展开更多
基金the National Natural Science Foundation of China under Grant No.61991412the Program for HUST Academic Frontier Youth Team under Grant No.2018QYTD07.
文摘Knowledge graphs are involved in more and more applications to further improve intelligence.Owing to the inherent incompleteness of knowledge graphs resulted from data updating and missing,a number of knowledge graph completion models are proposed in succession.To obtain better performance,many methods are of high complexity,making it time-consuming for training and inference.This paper proposes a simple but e®ective model using only shallow neural networks,which combines enhanced feature interaction and multi-subspace information integration.In the enhanced feature interaction module,entity and relation embeddings are almost peer-to-peer interacted via multi-channel 2D convolution.In the multi-subspace information integration module,entity and relation embeddings are projected to multiple subspaces to extract multi-view information to further boost performance.Extensive experiments on widely used datasets show that the proposed model outperforms a series of strong baselines.And ablation studies demonstrate the e®ectiveness of each submodule in the model.
基金This research was supported by National Natural Science Foundation of China under Grant 62003243Shanghai Municipal Science and Technology Major Project under grant 2021SHZDZX0100+1 种基金Shanghai Municipal Commission of Science and Technology Nos.19511132101National Key R&D Program of China,No.2018YFE0105000,2018YFB1305304.
文摘This paper investigates the robust flocking problem for second-order nonlinear systems with a leader and external disturbances.In contrast with most of second-order systems in the literature,the intrinsic dynamics here are nonlinear and non-identical that depend not only on the velocity but also on the position,which is more realistic.Moreover,the interaction topology is undirected and switching.Provided that the leader’s velocity may be constant or time-varying,two distributed flocking control laws have been proposed for two cases to make the differences of the velocities between all followers and the leader approach to zero asymptotically.The proposed distributed flocking control laws are both model-independent which results in the effectiveness of the controllers to cope with the different intrinsic dynamics of the followers and the leader under some assumptions on boundedness of several states.An example is given to illustrate the validity of the theoretical results.
