A curated list of awesome surveys, books, theses and scholars working on Knowledge Graphs with focus on applications for Question Answering and Information Extraction.
- Knowledge Graph Embedding: A Survey of Approaches and Applications [Wang et al., 2017]
- A review: Knowledge reasoning over knowledge graph [Chen et al., 2020]
- A survey of embedding models of entities and relationships for knowledge graph completion [Nguyen et al., 2020]
- A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks [Dai et al., 2020]
- A Survey on Graph Neural Networks for Knowledge Graph Completion [Arora et al., 2020]
- A Survey on Knowledge Graphs - Representation, Acquisition and Applications [Ji et al., 2021]
- Knowledge Graph Embedding for Link Prediction: A Comparative Analysis [Rossi et al., 2021]
- Neural-Symbolic Reasoning on Knowledge Graphs [Zhang et al., 2020]
- Combining pre-trained language models and structured knowledge [Colon-Hernandez et al., 2021]
- Representation Learning on Graphs - Methods and Applications [Hamilton et al., 2018]
- A Comprehensive Survey on Graph Neural Networks [Wu et al., 2020]
- Deep Learning on Graphs: A Survey [Zhang et al., 2020]
- Machine Learning on Graphs: A Model and Comprehensive Taxonomy [Chami et al., 2021]
- Introduction to neural network-based question answering over knowledge graphs [Chakraborty et al., 2020]
- An Overview of Utilizing Knowledge Bases in Neural Networks for Question [Kafle et al., 2019]
- A Survey on Complex Question Answering over Knowledge Base - Recent Advances and Challenges [Fu et al., 2020]
- Recent Trends in Deep Learning Based Open-Domain Textual Question Answering Systems [Huang et al., 2020]
- A Survey on Open Information Extraction [Niklaus et al., 2018]
- A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs [Sun et al., 2020]
- Neural relation extraction: a survey [Aydar et al., 2020]
- Techniques for Jointly Extracting Entities and Relations: A Survey [Pawar et al., 2021]
- Machine Knowledge - Creation and Curation of Comprehensive Knowledge Bases [Weikum et al., 2020]
- Graph Representation Learning [Hamilton, 2020]
- Tensor Factorization for Relational Learning [Maximilian Nickel, 2013]
- Complex-Valued Embedding Models for Knowledge Graphs [Theo Trouillon, 2017]
- Representing and Learning Relations and Properties Under Uncertainty [Seyed Mehran Kazemi, 2018]
- Large-Scale Machine Learning over Graphs [Hanxiao Liu, 2018]
- Multi-relational Representation Learning and Knowledge Acquisition [Muhao Chen, 2019]
- Reasoning-Driven Question-Answering for Natural Language Understanding [Daniel Khashabi, 2019]
- Tensor Decompositions for Knowledge Base Completion [Timothee Lacroix, 2020]
- Using Knowledge Bases for Question Answering [Yunshai Lan, 2020]
- End-to-End Learning with Text & Knowledge Bases [Bhuwan Dhingra, 2020]
- Neural Interface for Web-Scale Knowledge [Minjoon Seo, 2020]
- Representation Learning for Graph-Structured Data [Dai Quoc Nguyen, 2021]
- Learning representations of entities and relations [Ivana Balažević, 2021]
- Jing Jiang
- Partha Pratim Talukdar
- Rainer Gemulla
- Sebastian Riedel
- Shirui Pan
- William L. Hamilton
- William W. Cohen
- Zhiyuan Liu
- CS224W: Machine Learning with Graphs
- COMP 766 - Graph Representation Learning
- MPI - Advanced Topics in Knowledge Bases
- CS953 Adv Top - Data Science for Knowledge Graphs and Text
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