This is a collection about the application of GNN in Knowledge Graph.
Knowledge Graph Construction
Entity Recognition and Concept Extraction
[] Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao and Christos Faloutsos. KDD 2019 [pdf]
[] Hashing Graph Convolution for Node Classification. Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang，Jian Yang. CIKM 2019 [pdf]
Relation Extraction
[] Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang and Huajun Chen. NAACL-HLT 2019. [pdf]
[] Attention Guided Graph Convolutional Networks for Relation Extraction. Zhijiang Guo, Yan Zhang and Wei Lu. ACL 2019 [pdf] [code]
[] Graph Neural Networks with Generated Parameters for Relation Extraction. Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua and Maosong Sun. ACL 2019 [pdf]
[] GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma. ACL 2019 [pdf] [code]
[] Zhang, Yuhao, Peng Qi, and Christopher D. Manning. "Graph convolution over pruned dependency trees improves relation extraction." arXiv preprint arXiv:1809.10185 (2018). pdf
Knowledge Graph Completion
Arora, Siddhant. "A survey on graph neural networks for knowledge graph completion." arXiv preprint arXiv:2007.12374 (2020). pdf
[] TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung and William L. Hamilton. EMNLP 2020 [pdf]
[] Xiong, Wenhan, et al. "One-shot relational learning for knowledge graphs." arXiv preprint arXiv:1808.09040 (2018). pdf
Event Extraction
- [] Liu, Xiao, Zhunchen Luo, and Heyan Huang. "Jointly multiple events extraction via attention-based graph information aggregation." arXiv preprint arXiv:1809.09078 (2018). pdf
Axiom mining
Knowledge Graph Reasoning
- [] Nathani, Deepak, et al. "Learning attention-based embeddings for relation prediction in knowledge graphs." arXiv preprint arXiv:1906.01195 (2019). pdf
- [] Zhang, Yuyu, et al. "Efficient probabilistic logic reasoning with graph neural networks." arXiv preprint arXiv:2001.11850 (2020). pdf
- [] Zhang, Muhan, and Yixin Chen. "Link prediction based on graph neural networks." Advances in Neural Information Processing Systems 31 (2018): 5165-5175. pdf
- [] Tang, Yun, et al. "Orthogonal relation transforms with graph context modeling for knowledge graph embedding." arXiv preprint arXiv:1911.04910 (2019). pdf
Knowledge Graph Fusion
Entity Allignment
[] Collective Multi-type Entity Alignment Between Knowledge Graphs. Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong and Jiawei Han. WWW 2020 pdf
[] Knowledge Graph Alignment with Entity-Pair Embedding. Zhichun Wang, Jinjian Yang and Xiaoju Ye. EMNLP 2020 pdf
Graph Alignment
- [] Wang, Zhichun, et al. "Cross-lingual knowledge graph alignment via graph convolutional networks." Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018. pdf
Knowledge Graph Representation Learning
Node Representation
Relation Representation
- Schlichtkrull, Michael, et al. "Modeling relational data with graph convolutional networks." European semantic web conference. Springer, Cham, 2018. pdf
Graph Representation
- [] Chami, Ines, et al. "Low-dimensional hyperbolic knowledge graph embeddings." arXiv preprint arXiv:2005.00545 (2020). pdf