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Knowledge graph completion (KGC) can predict missing links and is crucial for real-world knowledge graphs, which widely suffer from incompleteness.
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Jennifer Lautenschlager, Steve Shellman, and Michael Ward · 2015
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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A survey of methods for time series change point detection
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Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang, and Le Song · 2017
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Attention is all you need
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Kbgan: Adversarial learning for knowledge graph embeddings
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Neural ordinary differential equations
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Hyte: Hyperplane-based temporally aware knowledge graph embedding
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Utilizing knowledge graphs for text-centric information retrieval
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Learning sequence encoders for temporal knowledge graph completion
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Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol · 2018
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3drte: 3d rotation embedding in temporal knowledge graph
Jingbin Wang, Wang Zhang, Xinyuan Chen, Jing Lei, and Xiaolian Lai · 2020
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Temp: temporal message passing for temporal knowledge graph completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, and William L Hamilton · 2020
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TeRo: A time-aware knowledge graph embedding via temporal rotation
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Temporal knowledge graph completion based on time series gaussian embedding
Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Yazdi, and Jens Lehmann · 2020
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Understanding negative sampling in graph representation learning
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, and Jie Tang · 2020
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Tpmod: A tendency-guided prediction model for temporal knowledge graph completion
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Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences
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Knowledge graph embedding based question answering
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Recurrent event network: Autoregressive structure inference over temporal knowledge graphs
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Diachronic embedding for temporal knowledge graph completion
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A continual learning survey: Defying forgetting in classification tasks
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Learning neural ordinary equations for forecasting future links on temporal knowledge graphs
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Learning to walk across time for interpretable temporal knowledge graph completion
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Search from history and reason for future: Two-stage reasoning on temporal knowledge graphs
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Temporal knowledge graph reasoning based on evolutional representation learning
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Learning dynamic embeddings for temporal knowledge graphs
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Leveraging static models for link prediction in temporal knowledge graphs
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Knowledge graph embedding for link prediction: A comparative analysis
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Tucker decomposition-based temporal knowledge graph completion
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Tie: A framework for embedding-based incremental temporal knowledge graph completion
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Temporal knowledge graph completion using a linear temporal regularizer and multivector embeddings
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Rtfe: A recursive temporal fact embedding framework for temporal knowledge graph completion
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Learning from history: Modeling temporal knowledge graphs with sequential copy-generation networks
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