the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (TKGQA), an emerging task to answer temporal questions. However, this field grapples withambiguitiesin defining temporal questions and lacks a systematic...
shaoxiongji/knowledge-graphs Star1.7k A collection of research on knowledge graphs natural-language-processinginformation-retrievalpapersurveyknowledge-graphquestion-answeringrepresentation-learningcross-modalknowledge-graph-completionnerdialogue-systemsreasoningrelation-extractioncommonsensetemporal-knowledge-graphrecommendati...
Streaming Graph Neural Network via Continue Learning (CIKM, 2020) [paper][code] Disentangle-based Continual Graph Representation Learning (EMNLP, 2020) [paper][code] TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion (EMNLP, 2020) [paper][code] Recurrent Event Network: Autoregress...
Temporal Knowledge Graph Completion: A SurveyArXiv, 2022.paper Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li. Update: Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li,Temporal Knowledge Graph Completion: A Survey, 2023 Proceedings of the Thirty...
Fig. 2 Framework of spatial-temporal knowledge graph research Full size|PPT slide 如何建立符合时空知识特点的时空认知与知识图谱表达方法,形成多维度的时空知识分类体系和统一的时空本体,发展顾及复杂时空特征及关系的时空知识图谱自适应表达模型,是时空知识组织管理、更新与计算推理、时空知识表示学习的理论基础。
Alberto Garciá-Durán, Sebastijan Dumančić, M.N.: Learning sequence encoders for temporal knowledge graph completion. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 4816–4821 (2018) Bordes, A., Usunier, N., Garcia-Durán, A.,...
We attempt to fill this gap by providing a comprehensive literature survey on state-of-the-art advances in STDM. We describe the challenging issues and their causes and open gaps of multiple STDM directions and aspects. Specifically, we investigate the challenging issues in regards to spatio...
Image classification can be divided into two categories: 1) Supervised classification is a user-guided process, where classification depends on a prior knowledge about the data that are extracted from the predefined training samples by the user; some popular supervised classification methods include supp...
Knowledge Graph Embedding Static Graph Embedding Survey Others Useful Libararies Temporal Knowledge Graph Completion / Reasoning Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. EMNLP 2020. ...
Robust knowledge adaptation for dynamic graph neural networks. IEEE Trans Knowl Data Eng. 2024;36(11):6920–33. https://doi.org/10.1109/TKDE.2024.3388453. Article Google Scholar Shabani N, et al. A comprehensive survey on graph summarization with graph neural networks. IEEE Trans Artif Intell...