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stmrdus · May 17, 2024 · a346831 · a346831
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 [11] Xiong, S., Yang, Y., Payani, A., Kerce, J. C., & Fekri, F. (2024, March). Teilp: Time prediction over knowledge graphs via logical reasoning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 14, pp. 16112-16119).
 
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 **ICDE2024**
 
 [1] Chen, W., Wan, H., Wu, Y., Zhao, S., Cheng, J., Li, Y., & Lin, Y. (2023). Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning. arXiv preprint arXiv:2312.01601.
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 [2] Zhang, S., Liang, X., Niu, S., Feng, J., Feng, C., & Wang, M. (2024, April). [Temporal Knowledge Graph Embedding using Householder Transformations](https://ieeexplore.ieee.org/abstract/document/10447572). In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 10106-10110). IEEE.
 
+**NIPS**
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+[1] Shengyuan, C., Cai, Y., Fang, H., Huang, X., & Sun, M. (2024). Differentiable neuro-symbolic reasoning on large-scale knowledge graphs. Advances in Neural Information Processing Systems, 36.
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+[2] Zhu, Z., Yuan, X., Galkin, M., Xhonneux, L. P., Zhang, M., Gazeau, M., & Tang, J. (2024). A* net: A scalable path-based reasoning approach for knowledge graphs. Advances in Neural Information Processing Systems, 36.
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+[3] Lin, X., Xu, C., Zhou, G., Luo, H., Hu, T., Su, F., ... & Sun, M. (2024). TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph. Advances in Neural Information Processing Systems, 36.
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+[4] Bai, J., Liu, X., Wang, W., Luo, C., & Song, Y. (2024). Complex query answering on eventuality knowledge graph with implicit logical constraints. Advances in Neural Information Processing Systems, 36. 
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 ## ArXiv
 
 [1] Ma, Y., Ye, C., Wu, Z., Wang, X., Cao, Y., Pang, L., & Chua, T. S. (2023). [Structured, Complex and Time-complete Temporal Event Forecasting](https://arxiv.org/abs/2312.01052). arXiv preprint arXiv:2312.01052. [Github](https://github.com/yecchen/GDELT-ComplexEvent)
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 [11] Fang, Z., Lei, S. L., Zhu, X., Yang, C., Zhang, S. X., Yin, X. C., & Qin, J. (2024). [Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph](https://arxiv.org/abs/2405.00352). arXiv preprint arXiv:2405.00352.
 
-**WWW**
+[12] Li, C., Zheng, H., Sun, Y., Wang, C., Yu, L., Chang, C., ... & Liu, B. (2024). Enhancing multi-hop knowledge graph reasoning through reward shaping techniques. arXiv preprint arXiv:2403.05801.
 
-[1] Mirtaheri, M., Rossi, R. A., Kim, S., Mahadik, K., Yu, T., Chen, X., & Rostami, M. (2024, May). Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. In Companion Proceedings of the ACM on Web Conference 2024 (pp. 497-500).
+[13] Chen, H., Ni, Y., Zakeri, A., Zou, Z., Yun, S., Wen, F., ... & Imani, M. (2024). HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. arXiv preprint arXiv:2403.05763.