NSTL国家科技图书文献中心

1. A stacked graph neural network with self-exciting process for robotic cognitive strategy reasoning in proactive human-robot collaborative assembly NSTL国家科技图书文献中心

Pengfei Ding | Jie Zhang ... - 《Advanced engineering informatics》 - 2025,63(Jan.) - 102957.1～102957.16 - 共16页

摘要： tasks. Firstly, a temporal* hypergraph with assembly* | the temporal* hypergraph. This point process models* | , requires research into robot cognitive strategy reasoning | strategy reasoning* on dynamic assembly.* | Proactive human-robot collaborative assembly

关键词： Temporal hypergraph reasoning | Robotic cognitive strategy | Human-robot collaborative assembly

2. Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding NSTL国家科技图书文献中心

Xinyue Liu | Jianan Zhang ... - 《2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation,Vol. 20》 - Joint International Conference on Computational Linguistics, Language Resources and Evaluation - 2024, - 15742～15751 - 共10页

摘要： hypergraph embedding for temporal knowledge graph reasoning | Reasoning over the Temporal Knowledge Graph | -embedding for temporal* hypergraph representation that* | temporal dynamics with knowledge graphs and graph | constructing hypergraphs based on temporal* knowledge graphs*

关键词： Temporal Knowledge Graph | Hypergraph | Reasoning

3. A Spatial-Temporal Graph Neural Network with Hawkes Process for Temporal Hypergraph Reasoning towards Robotic Decision-Making in Proactive Human-Robot Collaboration NSTL国家科技图书文献中心

Pengfei Ding | Jie Zhang ... - 《2024 IEEE 20th International Conference on Automation Science and Engineering》 - IEEE International Conference on Automation Science and Engineering - 2024, - 514～519 - 共6页

摘要： shortfall, we construct a temporal* hypergraph to represent* | Network with Hawkes process for temporal hypergraph | interference of redundant information for reasoning | reasoning of dynamic assembly, thereby impacting the | components and propose a Spatial- temporal* Graph Neural*

关键词： Sensitivity | Decision making | Collaboration | Reinforcement learning | Production | Interference | Robot sensing systems | Cognition | Graph neural networks | Assembly

4. The Prospective Threat Vector of a Bounded and Controllable Optimized Computational Approach for Spatio-Temporal Knowledge Graph Completion NSTL国家科技图书文献中心

S. Chan - 《2024 5th International Conference on Big Data Analytics and Practices》 - International Conference on Big Data Analytics and Practices - 2024, - 26～32 - 共7页

摘要： potentially specious reasoning* (as snapshots of these* | -Temporal* Knowledge Graph Completion (STKGC) (i.e., the* | Temporal Span (ETS opt ) so as to constitute prospective | a Hypergraph-Induced Infimal Convolutional | There is a presumption by some that the

关键词： Manifolds | Prevention and mitigation | Neural networks | Prototypes | Knowledge graphs | Big Data | Vectors

5. A Learning-Based Integrated Framework of Motion Prediction and Planning for Connected and Automated Vehicles: Towards Interaction, Multi-Modality, and Relational Reasoning NSTL国家科技图书文献中心

Wu, Keshu. - Transportation.;Envi... - Ph.D. - Ran, Bin - 2024, - 1～149 - 共149页

摘要： reasoning about the diverse interactions among agents and | comprehensively capture both spatial and temporal* dependencies* | dissertation further integrates the Relational Hypergraph | revolutionizes interaction modeling and relational reasoning | multiscale hypergraph* representations. RHINO distinguishes*

关键词： Hypergraph | Interaction representation | Learning-based motion planning | Motion prediction | Multi-modal prediction | Relational reasoning

6. HIERARCHICAL HYPERGRAPH RECURRENT ATTENTION NETWORK FOR TEMPORAL KNOWLEDGE GRAPH REASONING NSTL国家科技图书文献中心

Jiayan Guo | Meiqi Chen ... - 《2023 IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP 2023, Rhodes Island, Greece, 4-10 June 2023, [v.9]》 - IEEE International Conference on Acoustics, Speech and Signal Processing - 2023, - 7206～7210 - 共5页

摘要：Temporal knowledge graph (TKG) serves as an | real-world entities. A temporal* knowledge graph can* | snapshots ordered by time. Reasoning* over such graphs* | remains nontrivial as temporal* causal dependencies* | reasoning methods only model pair-wise relations, which

关键词： Graph Neural Network | Event Knowledge Graph Reasoning

7. Modeling switched behavior to monitor energy-based dynamical systems NSTL国家科技图书文献中心

Dhaou Garai | Rafika El Harabi ... - 《2021 IEEE 2nd International Conference on Signal, Control and Communication: SCC 2021, Hammamet, Tunisia, 20-22 December 2021》 - IEEE International Conference on Signal, Control and Communication - 2021, - 282～288 - 共7页

摘要： merging quantitative and qualitative reasoning* so as to* | the Directed Behavioral Hypergraph* (DBH) description* | and able to study the temporal* and qualitative* | Nowadays, a wide number of manufacturing | systems are usually coupled discrete and continuous

关键词： Fault diagnosis | Actuators | Fault detection | Redundancy | Switches | Cognition | Task analysis

8. A Modeling Method and Declarative Language for Temporal Reasoning Based on Fluid Qualities NSTL国家科技图书文献中心

Matei Popovici | Mihnea Muraru ... - 《Conceptual Structures for Discovering Knowledge》 - International Conference on Conceptual Structures (ICCS 2011) - 2011, - 215～228 - 共14页

摘要： representing and reasoning* about time-dependent properties* | Current knowledge representation mechanisms | focus more on providing a static description of a | modeled universe and less on capturing evolution | . Ontology modeling languages, such as OWL, have no

关键词： Temporal representation;;Temporal reasoning;;Hypergraph;;Declarative language

NSTL主题词： temporal reasoning | declarative language | Fluid | Modeling

9. Temporal Inductive Logic Reasoning over Hypergraphs NSTL国家科技图书文献中心

Yuan Yang | Siheng Xiong ... - 《Thirty-Third International Joint Conference on Artificial Intelligence,[v.5]》 - International Joint Conference on Artificial Intelligence - 2024, - 3613～3621 - 共9页

摘要：, effectively a type of hypergraph* with temporal events. In* | reasoning (TILR), an ILP method that reasons on temporal | hypergraphs. To enable hypergraph* reasoning, we introduce* | , we create and release two temporal hypergraph | Inductive logic reasoning* is a fundamental*

10. Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination NSTL国家科技图书文献中心

Wenbo Zheng | Lan Yan ... - 《International Conference on Machine Learning: ICML 2021, Online, 18-24 July 2021, Part 16 of 16》 - International Conference on Machine Learning - 2022, - 12737～12750 - 共14页

摘要：, we propose a novel multimodal model, Hypergraph | -Enhanced Graph Reasoning. First it represents the | limitations in the temporal* domain. Our method illustrates* | Even with a still image, humans can | ratiocinate various visual cause-and-effect descriptions

摘要： tasks. Firstly, a temporal* hypergraph with assembly* | the temporal* hypergraph. This point process models* | , requires research into robot cognitive strategy reasoning | strategy reasoning* on dynamic assembly.* | Proactive human-robot collaborative assembly

关键词： Temporal hypergraph reasoning | Robotic cognitive strategy | Human-robot collaborative assembly

摘要： hypergraph embedding for temporal knowledge graph reasoning | Reasoning over the Temporal Knowledge Graph | -embedding for temporal* hypergraph representation that* | temporal dynamics with knowledge graphs and graph | constructing hypergraphs based on temporal* knowledge graphs*

关键词： Temporal Knowledge Graph | Hypergraph | Reasoning

摘要： shortfall, we construct a temporal* hypergraph to represent* | Network with Hawkes process for temporal hypergraph | interference of redundant information for reasoning | reasoning of dynamic assembly, thereby impacting the | components and propose a Spatial- temporal* Graph Neural*

关键词： Sensitivity | Decision making | Collaboration | Reinforcement learning | Production | Interference | Robot sensing systems | Cognition | Graph neural networks | Assembly

摘要： potentially specious reasoning* (as snapshots of these* | -Temporal* Knowledge Graph Completion (STKGC) (i.e., the* | Temporal Span (ETS opt ) so as to constitute prospective | a Hypergraph-Induced Infimal Convolutional | There is a presumption by some that the

关键词： Manifolds | Prevention and mitigation | Neural networks | Prototypes | Knowledge graphs | Big Data | Vectors

关键词： Hypergraph | Interaction representation | Learning-based motion planning | Motion prediction | Multi-modal prediction | Relational reasoning

摘要：Temporal knowledge graph (TKG) serves as an | real-world entities. A temporal* knowledge graph can* | snapshots ordered by time. Reasoning* over such graphs* | remains nontrivial as temporal* causal dependencies* | reasoning methods only model pair-wise relations, which

关键词： Graph Neural Network | Event Knowledge Graph Reasoning

摘要： merging quantitative and qualitative reasoning* so as to* | the Directed Behavioral Hypergraph* (DBH) description* | and able to study the temporal* and qualitative* | Nowadays, a wide number of manufacturing | systems are usually coupled discrete and continuous

关键词： Fault diagnosis | Actuators | Fault detection | Redundancy | Switches | Cognition | Task analysis

摘要： representing and reasoning* about time-dependent properties* | Current knowledge representation mechanisms | focus more on providing a static description of a | modeled universe and less on capturing evolution | . Ontology modeling languages, such as OWL, have no

关键词： Temporal representation;;Temporal reasoning;;Hypergraph;;Declarative language

NSTL主题词： temporal reasoning | declarative language | Fluid | Modeling

摘要：, effectively a type of hypergraph* with temporal events. In* | reasoning (TILR), an ILP method that reasons on temporal | hypergraphs. To enable hypergraph* reasoning, we introduce* | , we create and release two temporal hypergraph | Inductive logic reasoning* is a fundamental*

摘要：, we propose a novel multimodal model, Hypergraph | -Enhanced Graph Reasoning. First it represents the | limitations in the temporal* domain. Our method illustrates* | Even with a still image, humans can | ratiocinate various visual cause-and-effect descriptions

NSTL主题词： Reasoning | cargo | Head | Line graph | Visualization

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： tasks. Firstly, a temporal hypergraph with assembly | the temporal hypergraph. This point process models | , requires research into robot cognitive strategy reasoning | strategy reasoning on dynamic assembly. | Proactive human-robot collaborative assembly

关键词： Temporal hypergraph reasoning | Robotic cognitive strategy | Human-robot collaborative assembly

摘要： hypergraph embedding for temporal knowledge graph reasoning | Reasoning over the Temporal Knowledge Graph | -embedding for temporal hypergraph representation that | temporal dynamics with knowledge graphs and graph | constructing hypergraphs based on temporal knowledge graphs

关键词： Temporal Knowledge Graph | Hypergraph | Reasoning

摘要： shortfall, we construct a temporal hypergraph to represent | Network with Hawkes process for temporal hypergraph | interference of redundant information for reasoning | reasoning of dynamic assembly, thereby impacting the | components and propose a Spatial- temporal Graph Neural

关键词： Sensitivity | Decision making | Collaboration | Reinforcement learning | Production | Interference | Robot sensing systems | Cognition | Graph neural networks | Assembly

摘要： potentially specious reasoning (as snapshots of these | -Temporal Knowledge Graph Completion (STKGC) (i.e., the | Temporal Span (ETS opt ) so as to constitute prospective | a Hypergraph-Induced Infimal Convolutional | There is a presumption by some that the

关键词： Manifolds | Prevention and mitigation | Neural networks | Prototypes | Knowledge graphs | Big Data | Vectors

关键词： Hypergraph | Interaction representation | Learning-based motion planning | Motion prediction | Multi-modal prediction | Relational reasoning

摘要：Temporal knowledge graph (TKG) serves as an | real-world entities. A temporal knowledge graph can | snapshots ordered by time. Reasoning over such graphs | remains nontrivial as temporal causal dependencies | reasoning methods only model pair-wise relations, which

关键词： Graph Neural Network | Event Knowledge Graph Reasoning

摘要： merging quantitative and qualitative reasoning so as to | the Directed Behavioral Hypergraph (DBH) description | and able to study the temporal and qualitative | Nowadays, a wide number of manufacturing | systems are usually coupled discrete and continuous

关键词： Fault diagnosis | Actuators | Fault detection | Redundancy | Switches | Cognition | Task analysis

摘要： representing and reasoning about time-dependent properties | Current knowledge representation mechanisms | focus more on providing a static description of a | modeled universe and less on capturing evolution | . Ontology modeling languages, such as OWL, have no

关键词： Temporal representation;;Temporal reasoning;;Hypergraph;;Declarative language

NSTL主题词： temporal reasoning | declarative language | Fluid | Modeling

摘要：, effectively a type of hypergraph with temporal events. In | reasoning (TILR), an ILP method that reasons on temporal | hypergraphs. To enable hypergraph reasoning, we introduce | , we create and release two temporal hypergraph | Inductive logic reasoning is a fundamental

摘要：, we propose a novel multimodal model, Hypergraph | -Enhanced Graph Reasoning. First it represents the | limitations in the temporal domain. Our method illustrates | Even with a still image, humans can | ratiocinate various visual cause-and-effect descriptions

NSTL主题词： Reasoning | cargo | Head | Line graph | Visualization

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： tasks. Firstly, a temporal* hypergraph with assembly* | the temporal* hypergraph. This point process models* | , requires research into robot cognitive strategy reasoning | strategy reasoning* on dynamic assembly.* | Proactive human-robot collaborative assembly

摘要： hypergraph embedding for temporal knowledge graph reasoning | Reasoning over the Temporal Knowledge Graph | -embedding for temporal* hypergraph representation that* | temporal dynamics with knowledge graphs and graph | constructing hypergraphs based on temporal* knowledge graphs*

摘要： shortfall, we construct a temporal* hypergraph to represent* | Network with Hawkes process for temporal hypergraph | interference of redundant information for reasoning | reasoning of dynamic assembly, thereby impacting the | components and propose a Spatial- temporal* Graph Neural*

摘要： potentially specious reasoning* (as snapshots of these* | -Temporal* Knowledge Graph Completion (STKGC) (i.e., the* | Temporal Span (ETS opt ) so as to constitute prospective | a Hypergraph-Induced Infimal Convolutional | There is a presumption by some that the

摘要：Temporal knowledge graph (TKG) serves as an | real-world entities. A temporal* knowledge graph can* | snapshots ordered by time. Reasoning* over such graphs* | remains nontrivial as temporal* causal dependencies* | reasoning methods only model pair-wise relations, which

摘要： merging quantitative and qualitative reasoning* so as to* | the Directed Behavioral Hypergraph* (DBH) description* | and able to study the temporal* and qualitative* | Nowadays, a wide number of manufacturing | systems are usually coupled discrete and continuous

摘要： representing and reasoning* about time-dependent properties* | Current knowledge representation mechanisms | focus more on providing a static description of a | modeled universe and less on capturing evolution | . Ontology modeling languages, such as OWL, have no

摘要：, effectively a type of hypergraph* with temporal events. In* | reasoning (TILR), an ILP method that reasons on temporal | hypergraphs. To enable hypergraph* reasoning, we introduce* | , we create and release two temporal hypergraph | Inductive logic reasoning* is a fundamental*

摘要：, we propose a novel multimodal model, Hypergraph | -Enhanced Graph Reasoning. First it represents the | limitations in the temporal* domain. Our method illustrates* | Even with a still image, humans can | ratiocinate various visual cause-and-effect descriptions