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lnhutnam committed Apr 17, 2024
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[1] 🔥 Xu, H., Bao, J., Li, H., He, C., & Chen, F. (2024). [A Multi-View Temporal Knowledge Graph Reasoning Framework with Interpretable Logic Rules and Feature Fusion](https://www.mdpi.com/2079-9292/13/4/742). Electronics, 13(4), 742.

**Neurocomputing**

[1] He, M., Zhu, L., & Bai, L. (2024). [ConvTKG: A query-aware convolutional neural network-based embedding model for temporal knowledge graph completion](https://www.sciencedirect.com/science/article/pii/S092523122400451X). Neurocomputing, 127680.

## 2023

**Semantic Web Journal**
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[2] (TANGO) Wang, Z., Ding, D., Ren, M., & Conti, M. (2023). [TANGO: A Temporal Spatial Dynamic Graph Model for Event Prediction](https://www.sciencedirect.com/science/article/pii/S0925231223003727). Neurocomputing, 126249.

[3] He, M., Zhu, L., & Bai, L. (2024). [ConvTKG: A query-aware convolutional neural network-based embedding model for temporal knowledge graph completion](https://www.sciencedirect.com/science/article/pii/S092523122400451X). Neurocomputing, 127680.

**IEEE Transactions on Neural Networks and Learning Systems**

[1] (QDN) Wang, J., Wang, B., Gao, J., Li, X., Hu, Y., & Yin, B. (2023). [QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion](https://ieeexplore.ieee.org/abstract/document/10132432/). IEEE Transactions on Neural Networks and Learning Systems. [Github](https://github.com/jiapuwang/QDN-A-Quadruplet-Distributor-Network-for-Temporal-Knowledge-Graph-Completion)
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