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Publication search results
found 82 matches
- 2024
- Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. AAAI 2024: 19413-19421 - Ruilin Luo, Tianle Gu, Haoling Li, Junzhe Li, Zicheng Lin, Jiayi Li, Yujiu Yang:
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion. CoRR abs/2401.06072 (2024) - Panos Pantidis, Habiba Eldababy, Diab W. Abueidda, Mostafa E. Mobasher:
I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation. CoRR abs/2402.05460 (2024) - Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang:
Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. CoRR abs/2402.14382 (2024) - 2023
- Lucas Sakizloglou:
Evaluating temporal queries over history-aware architectural runtime models. University of Potsdam, Germany, 2023 - Qinglin Zhang, Menghan Wang, Haiyan Wang, Xuan Rao, Lisi Chen:
SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks. Future Gener. Comput. Syst. 144: 230-241 (2023) - Chaerin Hong, Seongsik Park, Keehoon Kim:
sEMG-Based Gesture Recognition Using Temporal History. IEEE Trans. Biomed. Eng. 70(9): 2655-2666 (2023) - Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) 2023: 7740-7755 - Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li:
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling. ACL (1) 2023: 3521-3533 - Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski:
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. ICLR 2023 - Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR abs/2305.18675 (2023) - Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li:
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling. CoRR abs/2306.06872 (2023) - Su Jiang, Louis J. Durlofsky:
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization. CoRR abs/2310.03228 (2023) - Sishun Liu, Ke Deng, Yan Wang, Xiuzhen Zhang:
Explainable History Distillation by Marked Temporal Point Process. CoRR abs/2311.07797 (2023) - Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin:
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2312.01601 (2023) - Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. CoRR abs/2312.05497 (2023) - 2022
- Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo, Zhiming Ding:
A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data. ISPRS Int. J. Geo Inf. 11(3): 209 (2022) - Binh-Minh Bui-Xuan, Hugo Hourcade, Cédric Miachon:
Computing small temporal modules in time logarithmic in history length. Soc. Netw. Anal. Min. 12(1): 19 (2022) - Lucas Sakizloglou, Sona Ghahremani, Matthias Barkowsky, Holger Giese:
Incremental execution of temporal graph queries over runtime models with history and its applications. Softw. Syst. Model. 21(5): 1789-1829 (2022) - Filip Ginter, Harri Kiiskinen, Jenna Kanerva, Li-Hsin Chang, Hannu Salmi:
Deep Learning, Film History: Model Explanation Techniques in the Analysis of Temporality in Finnish Fiction Film Metadata. DHNB 2022: 50-62 - Aleksandr Ermolov, Enver Sangineto, Nicu Sebe:
Temporal Alignment for History Representation in Reinforcement Learning. ICPR 2022: 2172-2178 - Chen Chen Peng, Xiaochuan Shi, Rongwei Yu, Chao Ma, Libing Wu, Dian Zhang:
Multi-timescale History Modeling for Temporal Knowledge Graph Completion. MSN 2022: 477-484 - Hao Duan, Haoyu Jin, Kang Chen, Shaochong Du, Tao Fang, Hong Huo:
Jointly Learning Time-Structure-History Graph Embedding for Temporal Knowledge Graph Reasoning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1387-1393 - Aleksandr Ermolov, Enver Sangineto, Nicu Sebe:
Temporal Alignment for History Representation in Reinforcement Learning. CoRR abs/2204.03525 (2022) - Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski:
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise. CoRR abs/2210.14706 (2022) - 2021
- Ian Jeantet:
Hierarchical and temporal analysis of scientific corpora as tools for the history of science. (Analyses hiérarchiques et temporelles de corpora scientifiques vues comme outils pour l'histoire des sciences). University of Rennes 1, France, 2021 - Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang:
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. AAAI 2021: 4732-4740 - Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. ACL/IJCNLP (1) 2021: 4732-4743 - Zhang Ziying, Chi Hong, Wang Hui, Cao Ying, Liu Ge:
A Study on the Design and Display of Spatio-temporal Database of the History and Culture of "Three Hills and Five Gardens". ICCSE 2021: 486-489 - Harsimran Bedi, Sangameshwar Patil, Girish K. Palshikar:
Temporal Question Generation from History Text. ICON 2021: 408-413
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