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# 2014

## Conference

**EMNLP**

[1] (CTPs) Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell. ["CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection"](https://www.aclweb.org/anthology/D14-1207/). EMNLP 2014.
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# 2016

## Conference

**EMNLP**

[1] (t-TransE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui. ["Encoding Temporal Information for Time-Aware Link Prediction"](https://www.aclweb.org/anthology/D16-1260/). EMNLP 2016.


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# 2017

## Conference

**ICML**

[1] (Know-Evolve) Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song. ["Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs"](http://proceedings.mlr.press/v70/trivedi17a.html). ICML 2017.
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# 2018

## Conference

**EMNLP**

[2] (HyTE) Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. ["HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding"](https://www.aclweb.org/anthology/D18-1225/). EMNLP 2018. [https://github.com/malllabiisc/HyTE](https://github.com/malllabiisc/HyTE)

[1] (TA-DistMult) Alberto Garcia-Duran, Sebastijan Dumančić, Mathias Niepert. ["Learning Sequence Encoders for Temporal Knowledge Graph Completion"](https://www.aclweb.org/anthology/D18-1516/). EMNLP 2018.
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# 2019

## Conference

**ICLR**

[1] Jin, W., Jiang, H., Qu, M., Chen, T., Zhang, C., Szekely, P., & Ren, X. (2019). [Recurrent event network: Global structure inference over temporal knowledge graph](https://openreview.net/forum?id=SyeyF0VtDr). (Rejected from ICLR 2019)

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# 2020

## Conferences

**EMNLP**

[1] Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, and William L. Hamilton. 2020. [TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion](https://aclanthology.org/2020.emnlp-main.462/). In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 5730–5746, Online. Association for Computational Linguistics.

> Wu, J., Cao, M., Cheung, J. C. K., & Hamilton, W. L. (2020). [Temp: Temporal message passing for temporal knowledge graph completion](https://arxiv.org/pdf/2010.03526). arXiv preprint arXiv:2010.03526. [Github](https://github.com/JiapengWu/TeMP)
[2] Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren. 2020. [Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs](https://aclanthology.org/2020.emnlp-main.541/). In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6669–6683, Online. Association for Computational Linguistics.

> Jin, W., Qu, M., Jin, X., & Ren, X. (2019). [Recurrent event network: Autoregressive structure inference over temporal knowledge graphs](https://arxiv.org/pdf/1904.05530). arXiv preprint arXiv:1904.05530. [Github](https://github.com/INK-USC/RE-Net)
[3] (DyERNIE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. ["DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion"](https://www.aclweb.org/anthology/2020.emnlp-main.593/). EMNLP 2020.

[4] (TIMEPLEX) Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti. ["Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols"](https://www.aclweb.org/anthology/2020.emnlp-main.305/). EMNLP 2020. [https://github.com/dair-iitd/tkbi](https://github.com/dair-iitd/tkbi)

**ICLR**

[1] (TComplEx) Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier. ["Tensor Decompositions for Temporal Knowledge Base Completion"](https://openreview.net/forum?id=rke2P1BFwS). ICLR 2020. [https://github.com/facebookresearch/tkbc](https://github.com/facebookresearch/tkbc)

**AAAI**

[1] (DE-SimplE) Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. ["Diachronic Embedding for Temporal Knowledge Graph Completion"](https://aaai.org/ojs/index.php/AAAI/article/view/5815). AAAI 2020. [https://github.com/BorealisAI/DE-SimplE](https://github.com/BorealisAI/DE-SimplE)

**IJCAI**

[1] (DArtNet) Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren. ["Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution"](https://www.ijcai.org/Proceedings/2020/386). IJCAI 2020. [https://github.com/INK-USC/DArtNet](https://github.com/INK-USC/DArtNet)

**COLING**

[1] (TeRo) Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. ["TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation"](https://www.aclweb.org/anthology/2020.coling-main.139/). COLING 2020. [https://github.com/soledad921/ATISE](https://github.com/soledad921/ATISE)

**CIKM**

[1] (ToKE) Julien Leblay, Melisachew Wudage Chekol, Xin Liu. ["Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision"](https://dl.acm.org/doi/10.1145/3340531.3412028). CIKM 2020. [https://gitlab.com/jleblay/tokei](https://gitlab.com/jleblay/tokei)

**ISWC**

[1] (ATiSE) Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. ["Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding"](https://link.springer.com/chapter/10.1007%2F978-3-030-62419-4_37). ISWC 2020. [https://github.com/soledad921/ATISE](https://github.com/soledad921/ATISE)

**WWW**

[1] (TDGNN) Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi. ["Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network"](https://dl.acm.org/doi/10.1145/3366423.3380073). 2020. [https://github.com/Leo-Q-316/TDGNN](https://github.com/Leo-Q-316/TDGNN)

## ArXiv

[14] Jung, J., Jung, J., & Kang, U. (2020). [T-gap: Learning to walk across time for temporal knowledge graph completion](https://arxiv.org/pdf/2012.10595). arXiv preprint arXiv:2012.10595.
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# 2021

## Conferences

**KDD**

[1] (T-GAP) Jaehun Jung, Jinhong Jung, U. Kang. ["Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion"](https://dl.acm.org/doi/10.1145/3447548.3467292). KDD 2021. [https://github.com/anonymoususer99/T-GAP](https://github.com/anonymoususer99/T-GAP)

**ICLR**

[1] (xERTE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. ["Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs"](https://iclr.cc/virtual/2021/poster/3378). ICLR 2021. [https://github.com/TemporalKGTeam/xERTE](https://github.com/TemporalKGTeam/xERTE)

**AAAI**

[1] (ChronoR) Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang. ["ChronoR: Rotation Based Temporal Knowledge Graph Embedding"](https://ojs.aaai.org/index.php/AAAI/article/view/16802). AAAI 2021.

[2] (CyGNet) Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang. ["Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks"](https://ojs.aaai.org/index.php/AAAI/article/view/16604). AAAI 2021. [https://github.com/CunchaoZ/CyGNet](https://github.com/CunchaoZ/CyGNet)

[3] (NLSM) Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati. ["Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs"](https://ojs.aaai.org/index.php/AAAI/article/view/16526). AAAI 2021.

**ACL/IJCNLP**

[1] (CluSTeR) 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"](https://aclanthology.org/2021.acl-long.365/). ACL/IJCNLP 2021.

[2] (HERCULES) Sebastien Montella, Lina Maria Rojas-Barahona, Johannes Heinecke. ["Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures"](https://aclanthology.org/2021.findings-acl.292/). ACL/IJCNLP (Findings) 2021.

**IJCAI**

[1] (HIPNet) Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang, ["HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph"](https://www.ijcai.org/proceedings/2021/264). IJCAI 2021. [https://github.com/Yongquan-He/HIP-network](https://github.com/Yongquan-He/HIP-network)

**EMNLP**

[1] (TANGO) Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp. ["Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs"](https://aclanthology.org/2021.emnlp-main.658/). EMNLP 2021.

[2] (TEA-GNN) Chengjin Xu, Fenglong Su, Jens Lehmann. ["Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs"](https://aclanthology.org/2021.emnlp-main.709/). EMNLP 2021. [https://github.com/soledad921/TEA-GNN](https://github.com/soledad921/TEA-GNN)

[3] (TEE) Zhen Han, Gengyuan Zhang, Yunpu Ma, Volker Tresp. ["Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework"](https://aclanthology.org/2021.emnlp-main.639/). EMNLP 2021.

[4] (TITer) Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He. ["TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting"](https://aclanthology.org/2021.emnlp-main.655/). EMNLP 2021. [https://github.com/JHL-HUST/TITer](https://github.com/JHL-HUST/TITer)

**NAACL-HLT**

[1] (RTFE) Youri Xu, Haihong E, Meina Song, Wenyu Song, Xiaodong Lv, Haotian Wang, Jinrui Yang. ["RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion"](https://www.aclweb.org/anthology/2021.naacl-main.451/). NAACL-HLT 2021.

[2] (TeLM) Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann. ["Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings"](https://www.aclweb.org/anthology/2021.naacl-main.202/). NAACL-HLT 2021. [https://github.com/soledad921/TeLM](https://github.com/soledad921/TeLM)

**SIGIR**

[1] (RE-GCN) Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng. ["Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning"](https://dl.acm.org/doi/10.1145/3404835.3462963). SIGIR 2021. [https://github.com/Lee-zix/RE-GCN](https://github.com/Lee-zix/RE-GCN)

[2] (TIE) Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung. ["TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion"](https://dl.acm.org/doi/10.1145/3404835.3462961). SIGIR 2021. [https://github.com/JiapengWu/Time-Aware-Incremental-Embedding](https://github.com/JiapengWu/Time-Aware-Incremental-Embedding)

**WSDM**

[1] (DBKGE) Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang. ["Learning Dynamic Embeddings for Temporal Knowledge Graphs"](https://dl.acm.org/doi/10.1145/3437963.3441741). WSDM 2021.

[2] Chen, H., Li, Y., Sun, X., Xu, G., & Yin, H. (2021, March). [Temporal meta-path guided explainable recommendation](https://arxiv.org/abs/2101.01433). In Proceedings of the 14th ACM international conference on web search and data mining (pp. 1056-1064).

**DASFAA**

[1] (ST-ConvKB) Jiasheng Zhang, Shuang Liang, Zhiyi Deng, Jie Shao. ["Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion"](https://link.springer.com/chapter/10.1007%2F978-3-030-73194-6_15). DASFAA 2021.

**ESWC**

[1] (RETRA) Simon Werner, Achim Rettinger, Lavdim Halilaj, Jürgen Lüttin. ["RETRA: Recurrent Transformers for Learning Temporally Contextualized Knowledge Graph Embeddings"](https://link.springer.com/chapter/10.1007%2F978-3-030-77385-4_25). ESWC 2021. [https://github.com/siwer/Retra](https://github.com/siwer/Retra)

**NeurIPS 2022 Temporal Graph Learning Workshop**

[1] Ding, Z., Ma, Y., He, B., & Tresp, V. (2021). [A simple but powerful graph encoder for temporal knowledge graph completion](https://arxiv.org/pdf/2112.07791). arXiv preprint arXiv:2112.07791.
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