A curated collection of research on knowledge graphs
QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS ICLR 2020. [Paper] [Code]
Differentiable learning of numerical rules in knowledge graphs ICLR 2020. Wang et al. [Paper]
Open Knowledge Enrichment for Long-tail Entities. WWW 2020. Cao et al.. [Paper] [Code]
LowFER: Low-rank Bilinear Pooling for Link Prediction. ICML 2020. Amin et al. [Paper]
Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction WWW 2020. Rosso et al. [Paper]
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases WWW 2020. Liu et al.. [Paper]
Relation Adversarial Network for Low Resource Knowledge Graph Completion WWW 2020. Zhang et al. [Paper]
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning WWW 2020. He et al. [Paper]
Open Knowledge Enrichment for Long-tail Entities. WWW 2020. Cao et al.. [Paper] [Code]
Spring-Electrical Models For Link Prediction. WSDM 2019. Kashinskaya, Yana and Samosvat, Egor and Artikov, Akmal. [Paper]
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI 2019. Kong et al. [Paper] [Code]
On Completing Sparse Knowledge Graph with Transitive Relation Embedding. AAAI 2019. Zhou et al. [Paper]
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI 2019. Shang, Chao and Tang, Yun and Huang, Jing and Bi, Jinbo and He, Xiaodong and Zhou, Bowen. [Paper]
An Open-World Extention to Knowledge Graph Completion MOdels. AAAI 2019. Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. [Paper] [Code]
Embedding Multimodal Relational Data for Knowledge Base Completion. EMNLP 2018. Pezeshkpour, Pouya, Liyan Chen, and Sameer Singh. [Paper] [Code] [Note]
Shared Embedding Based Neural Networks for Knowledge Graph Completion. CIKM 2018. Guan, Saiping and Jin, Xiaolong and Wang, Yuanzhuo and Cheng, Xueqi. [Paper]
Expanding Holographic Embeddings for Knowledge Completion. NIPS 2018. Yexiang Xue, Yang Yuan, Zhitian Xu, and Ashish Sabharwal. [Paper]
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NIPS 2018. Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao. [Paper]
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism. IJCAI 2018. Qian, Wei and Fu, Cong and Zhu, Yu and Cai, Deng and He, Xiaofei. [Paper]
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach IJCAI 2017. Hamaguchi et al. [Paper] [Code]
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. ACL 2017. Xie, Qizhe and Ma, Xuezhe and Dai, Zihang and Hovy, Eduard. [Paper]
A novel embedding model for knowledge base completion based on convolutional neural network. NAACL 2018. Nguyen, Dai Quoc and Nguyen, Tu Dinh and Nguyen, Dat Quoc and Phung, Dinh. [Paper]
ProjE: Embedding projection for knowledge graph completion. AAAI 2017. Shi, Baoxu and Weninger, Tim. [Paper] [Code]
TuckER: Tensor Factorization for Knowledge Graph Completion. Balažević, Ivana and Allen, Carl and Hospedales, Timothy M. [Paper] [Code]
Open-world knowledge graph completion. AAAI 2018. Shi, Baoxu and Weninger, Tim. [Paper] [Code]
On Multi-Relational Link Prediction with Bilinear Models. AAAI 2018. Wang, Yanjie and Gemulla, Rainer and Li, Hui. [Paper] [Code]
Inferring missing entity type instances for knowledge base completion: New dataset and methods. NAACL 2016. Neelakantan, Arvind and Chang, Ming-Wei. [Paper]
Compositional Vector Space Models for Knowledge Base Completion. ACL-IJCNLP 2015. Neelakantan, Arvind and Roth, Benjamin and McCallum, Andrew. [Paper]
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization WWW 2020. Belth et al. [Paper]
Correcting Knowledge Base Assertions. WWW 2020. Chen et al.. [Paper]
Expanding Taxonomies with Implicit Edge Semantics WWW 2020. Manzoor et al. [Paper]