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*.ipynb | ||
__pycache__ |
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# 2014 | ||
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## Conference | ||
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**EMNLP** | ||
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[1] (CTPs) Wijaya, D. T., Nakashole, N., & Mitchell, T. (2014, October). [CTPs: Contextual temporal profiles for time scoping facts using state change detection](https://www.aclweb.org/anthology/D14-1207/). In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 1930-1936). |
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# 2018 | ||
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## Conference | ||
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**EMNLP** | ||
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[3] Leblay, J., & Chekol, M. W. (2018, April). [Deriving validity time in knowledge graph](https://dl.acm.org/doi/abs/10.1145/3184558.3191639). In Companion Proceedings of the The Web Conference 2018 (pp. 1771-1776). | ||
[1] (TTransE) Leblay, J., & Chekol, M. W. (2018, April). [Deriving validity time in knowledge graph](https://dl.acm.org/doi/abs/10.1145/3184558.3191639). In Companion Proceedings of the The Web Conference 2018 (pp. 1771-1776). | ||
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[2] (HyTE) Dasgupta, S. S., Ray, S. N., & Talukdar, P. (2018). [Hyte: Hyperplane-based temporally aware knowledge graph embedding](https://www.aclweb.org/anthology/D18-1225/). In Proceedings of the 2018 conference on empirical methods in natural language processing (pp. 2001-2011). [Github](https://github.com/malllabiisc/HyTE) | ||
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[1] (TA-DistMult) García-Durán, A., Dumančić, S., & Niepert, M. (2018). [Learning sequence encoders for temporal knowledge graph completion](https://www.aclweb.org/anthology/D18-1516/). arXiv preprint arXiv:1809.03202. | ||
[3] (TA-DistMult) García-Durán, A., Dumančić, S., & Niepert, M. (2018). [Learning sequence encoders for temporal knowledge graph completion](https://www.aclweb.org/anthology/D18-1516/). arXiv preprint arXiv:1809.03202. |
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# 2019 | ||
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## Conference | ||
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**ICLR** | ||
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[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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[2] Trivedi, R., Farajtabar, M., Biswal, P., & Zha, H. (2019, May). [Dyrep: Learning representations over dynamic graphs](https://par.nsf.gov/biblio/10099025). In International conference on learning representations. | ||
[2] (DyRep) Trivedi, R., Farajtabar, M., Biswal, P., & Zha, H. (2019, May). [Dyrep: Learning representations over dynamic graphs](https://par.nsf.gov/biblio/10099025). In International conference on learning representations. | ||
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**ICTAI** | ||
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[1] (Hybrid-TE) Wang, Z., & Li, X. (2019, November). Hybrid-te: Hybrid translation-based temporal knowledge graph embedding. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 1446-1451). IEEE. | ||
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**WISE** | ||
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[1] Liu, Y., Hua, W., Xin, K., & Zhou, X. (2019). Context-aware temporal knowledge graph embedding. In Web Information Systems Engineering–WISE 2019: 20th International Conference, Hong Kong, China, November 26–30, 2019, Proceedings 20 (pp. 583-598). Springer International Publishing. |
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