A curated collection of research on knowledge graphs
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS 2020. Baek et al. [Paper]
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs. ICML 2020. Qu et al. [Paper]
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020. Qin et al. [Paper]
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018. Xiong, Wenhan, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang. [Paper] [Code] [Note]
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. CVPR 2018. Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang. [Paper]
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CVPR 2019. Kampffmeyer, Michael and Chen, Yinbo and Liang, Xiaodan and Wang, Hao and Zhang, Yujia and Xing, Eric P. [Paper] [Code]
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs. CVPR 2018. Xiaolong Wang, Yufei Ye, Abhinav Gupta. [Paper] [Code]
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019. Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun. [Paper] [Code]
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation. EMNLP 2018. Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong. [Paper]