update.

CITATION.cff

@@ -1,8 +1,8 @@
-cff-version: 1.2.0
+cff-version: 0.0.1
 message: "If you use this software, please cite it as below."
 authors:
 - family-names: "Le"
-  given-names: "Nam Le"
+  given-names: "Nam"
   orcid: "https://orcid.org/0000-0002-2273-5089"
 title: "Recently working on Temporal Knowledge Graph Embedding and Reasoning"
 url: "https://github.com/stmrdus/tkger"

README.md

@@ -374,7 +374,7 @@ Some papers on Temporal Knowledge Graph Embedding and Reasoning
 
 **IJCAI**
 
-[1] Dong, H., Ning, Z., Wang, P., Qiao, Z., Wang, P., Zhou, Y., & Fu, Y. (2023). [Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning](https://arxiv.org/abs/2304.12604). arXiv preprint arXiv:2304.12604.
+[1] Dong, H., Ning, Z., Wang, P., Qiao, Z., Wang, P., Zhou, Y., & Fu, Y. (2023). [Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning](https://arxiv.org/abs/2304.12604). arXiv preprint arXiv:2304.12604. [Github](https://github.com/hhdo/DaeMon)
 
 **WWW**
 
@@ -472,7 +472,7 @@ Some papers on Temporal Knowledge Graph Embedding and Reasoning
 
 [4] Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, and Yong Dou. 2023. [Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning](https://aclanthology.org/2023.findings-emnlp.448/). In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 6736–6746, Singapore. Association for Computational Linguistics.
 
-[5] Ningyuan Li, Haihong E, Shi Li, Mingzhi Sun, Tianyu Yao, Meina Song, Yong Wang, and Haoran Luo. 2023. [TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy](https://aclanthology.org/2023.findings-emnlp.529/). In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 7885–7894, Singapore. Association for Computational Linguistics.
+[5] Ningyuan Li, Haihong E, Shi Li, Mingzhi Sun, Tianyu Yao, Meina Song, Yong Wang, and Haoran Luo. 2023. [TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy](https://aclanthology.org/2023.findings-emnlp.529/). In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 7885–7894, Singapore. Association for Computational Linguistics. [Github](https://github.com/JasonLee-22/TR-Rules)
 
 ### Workshops
 

journal/2020.md

@@ -0,0 +1,7 @@
+# 2020
+
+## Journal
+
+**IEEE Access**
+
+[15] Tang, X., Yuan, R., Li, Q., Wang, T., Yang, H., Cai, Y., & Song, H. (2020). [Timespan-aware dynamic knowledge graph embedding by incorporating temporal evolution](https://ieeexplore.ieee.org/abstract/document/8950081/). IEEE Access, 8, 6849-6860.

journal/2021.md

@@ -0,0 +1,7 @@
+# 2021
+
+## Journal
+
+**Applied Soft Computing**
+
+[18] (TPath) Luyi Bai, Wenting Yu, Mingzhuo Chen, Xiangnan Ma. ["Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning"](https://www.sciencedirect.com/science/article/abs/pii/S1568494621000673?via%3Dihub). Applied Soft Computing 2021. 

journal/2022.md

@@ -0,0 +1,13 @@
+# 2022
+
+## Journal 🔥 🔥 🔥
+
+**Knowledge-Based Systems**
+
+[1] (EvoExplore) Jiasheng Zhang, Shuang Liang, Yongpan Sheng, Jie Shao. ["Temporal knowledge graph representation learning with local and global evolutions"](https://www.sciencedirect.com/science/article/abs/pii/S0950705122006141?via%3Dihub). Knowledge-Based Systems 2022.
+
+[2] (TuckERT) Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu. ["Tucker decomposition-based temporal knowledge graph completion"](https://www.sciencedirect.com/science/article/abs/pii/S0950705121010303?via%3Dihub). Knowledge Based Systems 2022. 
+
+**Expert Systems with Applications**
+
+[1] (BTDG) Yujing Lai, Chuan Chen, Zibin Zheng, Yangqing Zhang. ["Block term decomposition with distinct time granularities for temporal knowledge graph completion"](https://www.sciencedirect.com/science/article/abs/pii/S0957417422004511?via%3Dihub). Expert Systems with Applications 2022.

journal/2023.md

@@ -0,0 +1,119 @@
+# 2023
+
+## Journal 🔥 🔥 🔥
+
+**Semantic Web Journal**
+
+[1] Song, B., Amouzouvi, K., Xu, C., Wang, M., Lehmann, J., & Vahdati, S. [Temporal Relevance for Representing Learning over Temporal Knowledge Graphs](https://www.semantic-web-journal.net/system/files/swj3557.pdf).
+
+**Expert Systems with Applications**
+
+[1] Bai, L., Chen, M., Zhu, L., & Meng, X. (2023). [Multi-hop temporal knowledge graph reasoning with temporal path rules guidance](https://www.sciencedirect.com/science/article/abs/pii/S0957417423003056). Expert Systems with Applications, 223, 119804.
+
+[2] Wang, J., Shi, Y., Yu, H., Zhang, K., Wang, X., Yan, Z., & Li, H. (2023). [Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning](https://www.sciencedirect.com/science/article/pii/S095741742201627X). Expert Systems with Applications, 211, 118563.
+
+[3] Li, Z., Yu, J., Zhang, G., & Xu, L. (2023). [Dynamic spatio-temporal graph network with adaptive propagation mechanism for multivariate time series forecasting](https://www.sciencedirect.com/science/article/pii/S0957417422023922). Expert Systems with Applications, 216, 119374.
+
+**The Journal of Supercomputing**
+
+[1] Wang, Z., You, X., & Lv, X. (2023). [A relation enhanced model for temporal knowledge graph alignment](https://link.springer.com/article/10.1007/s11227-023-05670-w). The Journal of Supercomputing, 1-23.
+
+**Information Systems**
+
+[1] Liu, R., Yin, G., Liu, Z., & Tian, Y. (2023). [Reinforcement learning with time intervals for temporal knowledge graph reasoning](https://www.sciencedirect.com/science/article/pii/S030643792300128X). Information Systems, 102292.
+
+**Information Sciences**
+
+[1] Hou, X., Ma, R., Yan, L., & Ma, Z. (2023). [T-GAE: A Timespan-Aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion](https://www.sciencedirect.com/science/article/pii/S0020025523008101). Information Sciences, 119225.
+
+[2] Wang, X., Lyu, S., Wang, X., Wu, X., & Chen, H. (2023). [Temporal knowledge graph embedding via sparse transfer matrix](https://www.sciencedirect.com/science/article/pii/S0020025522015122). Information Sciences, 623, 56-69.
+
+[3] Bai, L., Yu, W., Chai, D., Zhao, W., & Chen, M. (2023). [Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules](https://www.sciencedirect.com/science/article/pii/S0020025522013871). Information Sciences, 621, 22-35.
+
+[4] Wang, H., Cai, S., Liu, P., Zhang, J., Shen, Z., & Liu, K. (2023). [DP-STGAT: Traffic statistics publishing with differential privacy and a spatial-temporal graph attention network](https://www.sciencedirect.com/science/article/pii/S0020025522013421). Information Sciences, 623, 258-274.
+
+[5] Mo, X., Tang, R., & Liu, H. (2023). [A relation-aware heterogeneous graph convolutional network for relationship prediction](https://www.sciencedirect.com/science/article/pii/S0020025522015535). Information Sciences, 623, 311-323.
+
+**IEEE/ACM Transactions on Audio, Speech, and Language Processing**
+
+[1] Xie, Z., Zhu, R., Liu, J., Zhou, G., & Huang, J. X. (2023). [TARGAT: A Time-Aware Relational Graph Attention Model for Temporal Knowledge Graph Embedding](https://ieeexplore.ieee.org/abstract/document/10141863/). IEEE/ACM Transactions on Audio, Speech, and Language Processing.
+
+**Applied Intelligence**
+
+[1] Yu, M., Guo, J., Yu, J., Xu, T., Zhao, M., Liu, H., ... & Yu, R. (2023). [TBDRI: block decomposition based on relational interaction for temporal knowledge graph completion](https://link.springer.com/article/10.1007/s10489-022-03601-5). Applied Intelligence, 53(5), 5072-5084.
+
+[2] Wang, J., Lin, X., Huang, H., Ke, X., Wu, R., You, C., & Guo, K. (2023). [GLANet: temporal knowledge graph completion based on global and local information-aware network](https://link.springer.com/article/10.1007/s10489-023-04481-z). Applied Intelligence, 1-17.
+
+[3] Li, M., Sun, Z., Zhang, W., & Liu, W. (2023). [Leveraging semantic property for temporal knowledge graph completion](https://link.springer.com/article/10.1007/s10489-022-03981-8). Applied Intelligence, 53(8), 9247-9260.
+
+**Neural Networks**
+
+[1] Zhang, H., & Bai, L. (2023). [Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism](https://www.sciencedirect.com/science/article/pii/S0893608023000552). Neural Networks, 161, 371-381.
+
+[2] Shao, P., Liu, T., Che, F., Zhang, D., & Tao, J. (2023). [Adaptive pseudo-Siamese policy network for temporal knowledge prediction](https://www.sciencedirect.com/science/article/pii/S0893608023000047). Neural Networks.
+
+**Neurocomputing**
+
+[1] Shao, P., He, J., Li, G., Zhang, D., & Tao, J. (2023). [Hierarchical Graph Attention Network for Temporal Knowledge Graph Reasoning](https://www.sciencedirect.com/science/article/pii/S0925231223005131). Neurocomputing, 126390.
+
+[2] 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.
+
+**IEEE Transactions on Neural Networks and Learning Systems**
+
+[1] 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)
+
+**Journal of Systems Science and Systems Engineering**
+
+[1] Yan, Z., & Tang, X. (2023). [Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph](https://link.springer.com/article/10.1007/s11518-023-5561-0). Journal of Systems Science and Systems Engineering, 32(2), 206-221.
+
+**Engineering Applications of Artificial Intelligence**
+
+[1] Bai, L., Ma, X., Meng, X., Ren, X., & Ke, Y. (2023). [RoAN: A relation-oriented attention network for temporal knowledge graph completion](https://www.sciencedirect.com/science/article/pii/S095219762300492X). Engineering Applications of Artificial Intelligence, 123, 106308.
+
+**Future Generation Computer Systems**
+
+[1] Nie, H., Zhao, X., Yao, X., Jiang, Q., Bi, X., Ma, Y., & Sun, Y. (2023). [Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion](https://www.sciencedirect.com/science/article/pii/S0167739X23000195). Future Generation Computer Systems.
+
+**Cognitive Computation**
+
+[2] Liu, W., Wang, P., Zhang, Z., & Liu, Q. (2023). [Multi-Scale Convolutional Neural Network for Temporal Knowledge Graph Completion](https://link.springer.com/article/10.1007/s12559-023-10134-7). Cognitive Computation, 1-7.
+
+**ACM Transactions on Knowledge Discovery from Data**
+
+[1] Zhang, S., Liang, X., Tang, H., Zheng, X., Zhang, A. X., & Ma, Y. [DuCape: Dual Quaternion and Capsule Network Based Temporal Knowledge Graph Embedding](https://dl.acm.org/doi/abs/10.1145/3589644). ACM Transactions on Knowledge Discovery from Data.
+
+**EEE Transactions on Knowledge and Data Engineering**
+
+[1] Li, Y., Chen, H., Li, Y., Li, L., Philip, S. Y., & Xu, G. (2023). [Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation](https://arxiv.org/abs/2111.12262). IEEE Transactions on Knowledge and Data Engineering.
+
+**International Journal of Electrical Power & Energy Systems**
+
+[2] Huang, N., Wang, S., Wang, R., Cai, G., Liu, Y., & Dai, Q. (2023). [Gated spatial-temporal graph neural network based short-term load forecasting for wide-area multiple buses](https://www.sciencedirect.com/science/article/pii/S0142061522006470). International Journal of Electrical Power & Energy Systems, 145, 108651.
+
+**Knowledge-Based Systems**
+
+[1] Zhao, N., Long, Z., Wang, J., & Zhao, Z. D. (2023). [AGRE: A knowledge graph recommendation algorithm based on multiple paths embeddings RNN encoder](https://www.sciencedirect.com/science/article/pii/S0950705122011741). Knowledge-Based Systems, 259, 110078.
+
+**Alexandria Engineering Journal**
+
+[1] Zhong, Y., & Huang, C. (2023). [A dynamic graph representation learning based on temporal graph transformer](https://www.sciencedirect.com/science/article/pii/S1110016822005336). Alexandria Engineering Journal, 63, 359-369.
+
+**The VLDB Journal**
+
+[1] Lou, Y., Wang, C., Gu, T., Feng, H., Chen, J., & Yu, J. X. (2023). [Time-topology analysis on temporal graphs](https://link.springer.com/article/10.1007/s00778-022-00772-y). The VLDB Journal, 1-29.
+
+**Information Fusion**
+
+[1] Gao, Q., Wang, W., Huang, L., Yang, X., Li, T., & Fujita, H. (2023). [Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion](https://www.sciencedirect.com/science/article/pii/S1566253522002287). Information Fusion, 92, 46-63.
+
+**Knowledge and Information Systems**
+
+[1] Hou, X., Ma, R., Yan, L., & Ma, Z. (2023). [DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network](https://link.springer.com/article/10.1007/s10115-022-01823-0). Knowledge and Information Systems, 1-25.
+
+**Journal of Computational Design and Engineering**
+
+[1] 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.
+
+**Entropy**
+
+[1] Du, Z., Qu, L., Liang, Z., Huang, K., Cui, L., & Gao, Z. (2023). [IMF: Interpretable Multi-Hop Forecasting on Temporal Knowledge Graphs](https://www.mdpi.com/1099-4300/25/4/666). Entropy, 25(4), 666.