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Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
| Date | Stars |
|---|---|
| 2026-07-31 | 610 |
| 2026-08-05 | 610 |
| 2026-08-06 | 610 |
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# Dynamic Knowledge Graph Completion This page is to summarize important materials about *dynamic (temporal) knowledge graph completion* and *dynamic graph embedding*. # Bookmarks - [Temporal Knowledge Graph Completion](#Temporal-knowledge-graph-completion-/-reasoning) - [Dynamic Graph Embedding](#Dynamic-graph-embedding) - [Knowledge Graph Embedding](#Knowledge-graph-embedding) - [Static Graph Embedding](#Static-graph-embedding) - [Survey](#Survey) - [Others](#Others) - [Useful Libararies](#Useful-Libararies) ## Temporal Knowledge Graph Completion / Reasoning - [Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs](https://arxiv.org/abs/1904.05530) - Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. EMNLP 2020. - This work is on an *extrapolation* problem which is to make predictions at unobserved times, different from interpolation work. - Proposes a novel neural architecture for modeling complex entity interaction sequences, which consists of a *recurrent event encoder* and a *neighborhood aggregator*. - Explores various neighborhood aggregators: a multi-relational graph aggregator demonstrates its effectiveness among them. - [Code and Data](https://github.com/INK-USC/re-net) <!-- - [Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs](https://arxiv.org/abs/1705.05742) - Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song. ICML 2017. - [Video](https://vimeo.com/238228194) - [Code (cpp)](https://github.com/rstriv/Know-Evolve) --> - [Learning Sequence Encoders for Temporal Knowledge Graph Completion](https://arxiv.org/abs/1809.03202) (Interpolation) - Alberto Garcia-Duran, Sebastijan Dumancic, Mathias Niepert. EMNLP 2018. - [Towards time-aware knowledge graph completion](http://aclweb.org/anthology/C16-1161) (Interpolation) - Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li and Zhifang Sui. COLING 2016. - [Deriving validity time in knowledge graph](https://dl.acm.org/citation.cfm?id=3191639) (Interpolation) - Julien Leblay and Melisachew Wudage Chekol. WWW Workshop 2018. - [HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding](http://aclweb.org/anthology/D18-1225) (Interpolation) - Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. EMNLP 2018. - [Code (TF based)](https://github.com/malllabiisc/HyTE) - [Predicting the co-evolution of event and knowledge graphs](https://arxiv.org/abs/1512.06900) - Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß. FUSION 2016. - [Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition](https://arxiv.org/pdf/1911.07893.pdf) - [Diachronic Embedding for Temporal Knowledge Graph Completion](https://grlearning.github.io/papers/41.pdf) - [Hybrid-TE: Hybrid Translation-based Temporal Knowledge Graph Embedding](http://www-kb.is.s.u-tokyo.ac.jp/~li-xin/ictai19.pdf) - [Tensor Decompositions for Temporal Knowledge Base Completion](https://openreview.net/forum?id=rke2P1BFwS) ## Dynamic Graph Embedding - [DyREP: Learning Representations over Dynamic Graphs](https://openreview.net/forum?id=HyePrhR5KX) (Extrapolation) - Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha. ICLR 2019. - [DynGEM: Deep Embedding Method for Dynamic Graphs](https://arxiv.org/abs/1805.11273) - Palash Goyal, Nitin Kamra, Xinran He, Yan Liu. IJCAI 2017. - [Graph2Seq: Scalable Learning Dynamics for Graphs](https://openreview.net/forum?id=Ske7ToC5Km) - Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Pramod Viswanath - [Dynamic Graph Representation Learning via Self-Attention Networks](https://openreview.net/forum?id=HylsgnCcFQ) - Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang - [Continuous-Time Dynamic Network Embeddings](http://ryanrossi.com/pubs/nguyen-et-al-WWW18-BigNet.pdf) - Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim. WWW 2018. - [GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Li
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matched fp:d2316b7fdda56613, topic:knowledge-graph, desc:knowledge graph