update.

README.md

@@ -109,6 +109,21 @@ Some papers on Temporal Knowledge Graph Embedding and Reasoning
 8. **A Survey on Temporal Knowledge Graph: Representation Learning and Applications**, ArXiv, 2024. [paper](https://arxiv.org/abs/2403.04782)
    _Cai, Li, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, and Man Lan._
 
+9.  **A survey of inductive knowledge graph completion**. Neural Computing and Applications, 36(8), 3837-3858, 2024. [paper](https://idp.springer.com/authorize/casa?redirect_uri=https://link.springer.com/article/10.1007/s00521-023-09286-2&casa_token=0CojBb7x7e4AAAAA:D6ZmmIdunksdtDal1bnlv-kniB7uSh20ghORVye4p8XW55UnY-Su2KqkpopQEX6Upea4mIkJmd2Dyvgv)
+   _Liang, X., Si, G., Li, J., Tian, P., An, Z., & Zhou, F._
+
+10.  **Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications**. International Journal of Machine Learning and Cybernetics, 1-20., 2024. [paper](https://idp.springer.com/authorize/casa?redirect_uri=https://link.springer.com/article/10.1007/s13042-024-02106-6&casa_token=aHFdBA3-Z4oAAAAA:SbDNlbpjx2MAJ6htmB1GDOTUYUOQuWNJ6x0Xy0vIfjstxtUNsVRLkRP5r9zvahzClb7nLTfP1q5Nt-Xp)
+   _Chen, C., Zheng, F., Cui, J., Cao, Y., Liu, G., Wu, J., & Zhou, J._
+
+11. **A comprehensive survey on deep graph representation learning**. Neural Networks, 106207, 2024. [paper](https://www.sciencedirect.com/science/article/pii/S089360802400131X)
+   _Ju, W., Fang, Z., Gu, Y., Liu, Z., Long, Q., Qiao, Z., ... & Zhang, M._
+
+12. **Knowledge Graph Embedding: An Overview**. APSIPA Transactions on Signal and Information Processing, 13(1), 2024. [paper](https://www.nowpublishers.com/article/OpenAccessDownload/SIP-2023-0065)
+   _Ge, X., Wang, Y. C., Wang, B., & Kuo, C. C. J._
+
+13.  **Temporal Knowledge Graph Question Answering: A Survey**. arXiv preprint arXiv:2406.14191. [paper]()
+   _Su, M., Li, Z., Chen, Z., Bai, L., Jin, X., & Guo, J._
+
 ### 2023
 
 1. **A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects**, ArXiv, 2023. [paper](https://arxiv.org/abs/2308.02457)
@@ -258,6 +273,18 @@ Some papers on Temporal Knowledge Graph Embedding and Reasoning
 
 [1] Bai, L., Chen, M., & Xiao, Q. (2024). Multi-Hop Temporal Knowledge Graph Reasoning with Multi-Agent Reinforcement Learning. Applied Soft Computing, 111727. [Github](https://github.com/DMKE-Lab/MA-TPath)
 
+**IEEE Transactions on Cybernetics**
+
+[1] Wang, J., Wang, B., Gao, J., Pan, S., Liu, T., Yin, B., & Gao, W. (2024). MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion. IEEE Transactions on Cybernetics.
+
+**IEEE Transaction on AI**
+
+[1] Yang, J., Huang, C., Yang, X., Yang, L. T., Gao, Y., & Liu, C. (2024). Temporal Knowledge Extrapolation Based on Fine-grained Tensor Graph Attention Network for Responsible AI. IEEE Transactions on Artificial Intelligence.
+
+**IAENG International Journal of Computer Science**
+
+[1] Huang, C., & Zhong, Y. (2024). A Novel Approach for Representing Temporal Knowledge Graphs. IAENG International Journal of Computer Science, 51(6).
+
 ## 2023
 
 **Semantic Web Journal**
@@ -344,6 +371,8 @@ Some papers on Temporal Knowledge Graph Embedding and Reasoning
 
 [1] (RLAT) Bai, L., Chai, D., & Zhu, L. (2023). [RLAT: Multi-hop temporal knowledge graph reasoning based on Reinforcement Learning and Attention Mechanism](https://www.sciencedirect.com/science/article/pii/S0950705123002642). Knowledge-Based Systems, 269, 110514.
 
+[2] Luo, X., Zhu, A., Zhang, J., & Shao, J. (2024). HierarT: Multi-hop temporal knowledge graph forecasting with hierarchical reinforcement learning. Knowledge-Based Systems, 112164.
+
 **Journal of Computational Design and Engineering**
 
 [1] (MetaRT) Zhu, L., Xing, Y., Bai, L., & Chen, X. (2023). [Few-shot link prediction with meta-learning for temporal knowledge graphs](https://academic.oup.com/jcde/article-abstract/10/2/711/7069330). Journal of Computational Design and Engineering, 10(2), 711-721.

conferences/2024.md

@@ -131,7 +131,29 @@
 
 **WWW**
 
-[1]
+[1] Kouagou, N. D. J., Demir, C., Zahera, H. M., Wilke, A., Heindorf, S., Li, J., & Ngonga Ngomo, A. C. (2024, May). Universal Knowledge Graph Embeddings. In Companion Proceedings of the ACM on Web Conference 2024 (pp. 1793-1797).
+
+[2] Zhou, E., Guo, S., Ma, Z., Hong, Z., Guo, T., & Dong, P. (2024, May). Poisoning Attack on Federated Knowledge Graph Embedding. In Proceedings of the ACM on Web Conference 2024 (pp. 1998-2008).
+
+[3] Egger, M. K., Ma, W., Mottin, D., Karras, P., Bordino, I., Gullo, F., & Anagnostopoulos, A. (2024, May). ReliK: A Reliability Measure for Knowledge Graph Embeddings. In Proceedings of the ACM on Web Conference 2024 (pp. 2009-2019).
+
+[4] Long, X., Zhuang, L., Li, A., Li, H., & Wang, S. (2024, May). Fact Embedding through Diffusion Model for Knowledge Graph Completion. In Proceedings of the ACM on Web Conference 2024 (pp. 2020-2029).
+
+[5] Zhang, H., Zhang, J., & Molybog, I. (2024, May). HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding. In Proceedings of the ACM on Web Conference 2024 (pp. 2116-2127).
+
+[6] Wang, Y., Javari, A., Balaji, J., Shalaby, W., Derr, T., & Cui, X. (2024, May). Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. In Companion Proceedings of the ACM on Web Conference 2024 (pp. 264-273).
+
+[7] Zhang, X. S., Guan, W., Lu, J., Qiu, Z., Cheng, J., Wu, X., & Zheng, Y. (2024, May). GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. In Proceedings of the ACM on Web Conference 2024 (pp. 4706-4716).
+
+**NAACL**
+
+[1] Ding, Z., Cai, H., Wu, J., Ma, Y., Liao, R., Xiong, B., & Tresp, V. (2024, June). zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 1877-1895).
+
+[2] Liao, R., Jia, X., Li, Y., Ma, Y., & Tresp, V. (2024, June). GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. In Findings of the Association for Computational Linguistics: NAACL 2024 (pp. 4303-4317).
+
+**Other**
+
+[1] Jia, N., & Yao, C. (2024). ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion. PeerJ Computer Science, 10, e2058.
 
 ## ArXiv
 
@@ -160,3 +182,13 @@
 [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.
 
 [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.
+
+[14] Zhang, J., Hui, B., Mu, C., Sun, M., & Tian, L. (2024). Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning. arXiv preprint arXiv:2405.10621.
+
+[15] Yang, J., Wang, X., Wang, Y., Wang, J., & Wang, F. Y. (2024). AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning. arXiv preprint arXiv:2405.10346.
+
+[16] Li, R., Li, C., Shen, Y., Zhang, Z., & Chen, X. (2024). Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. arXiv preprint arXiv:2405.08540.
+
+[17] Wang, J., Sun, K., Luo, L., Wei, W., Hu, Y., Liew, A. W. C., ... & Yin, B. (2024). Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. arXiv preprint arXiv:2405.14170.
+
+[18] Ma, Y., Burns, O., Wang, M., Li, G., Du, N., Shafey, L. E., ... & Soltau, H. (2024). Knowledge Graph Reasoning with Self-supervised Reinforcement Learning. arXiv preprint arXiv:2405.13640.