KG Reading List

	A	B	C	D	E
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2	Knowledge Graph Systems
3	Knowledge vault: a web-scale approach to probabilistic knowledge fusion	Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang	https://www.cs.ubc.ca/~murphyk/Papers/kv-kdd14.pdf
4	DBPedia: A Nucleus for a web of open data	Auer, Bizer, Kobilarov, Lehmann, Cyganiak, Ives	https://www.cis.upenn.edu/~zives/research/dbpedia.pdf
5	DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia	Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer	http://svn.aksw.org/papers/2013/SWJ_DBpedia/public.pdf
6	Wikidata: A Free Collaborative Knowledge Base	Denny Vrandečić and Markus Krötzsch	https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/42240.pdf
7	YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract	Johannes Hoffart Fabian M. Suchanek Klaus Berberich Gerhard Weikum	http://www.hoffart.ai/wp-content/papercite-data/pdf/hoffart-2013ww.pdf
8	WebTables retrospective	Cafarella, Halevy, Lee, Madhavan, Yu, Wang, Wu	https://web.eecs.umich.edu/~michjc/papers/p2140-cafarella.pdf
9	Things, not Strings (Closest thing to Google Knowledge Graph desc)	Amit Singhal	https://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
10	Satori tutorial (Closest document for Microsoft's KG)	Gao, Liang, Han, Yakout, Mohamed	https://kdd2018tutorialt39.azurewebsites.net/KDD%20Tutorial%20T39.pdf
11	Never-Ending Learning	Mitchell et al	http://www.cs.cmu.edu/~tom/pubs/NELL_aaai15.pdf
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13	Extraction and Data Quality
14	Latent Relation Representations for Universal Schemas	Sebastian Riedel, Limin Yao, Andrew McCallum	https://arxiv.org/pdf/1301.4293.pdf
15	Relation Extraction with Matrix Factorization and Universal Schemas	Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin	https://www.aclweb.org/anthology/N13-1008.pdf
16	Extracting Databases from Dark Data with DeepDive	Zhang, Shin, Re, Cafarella, Niu	https://cs.stanford.edu/people/chrismre/papers/modiv923-zhangA.pdf
17	Extending Cross-Domain Knowledge Bases with Long Tail Entities using Web Table Data	Oulabi, Bizer	https://pdfs.semanticscholar.org/ee3d/6bbfa5fef9d809101692469ee0df9487f7a9.pdf
18	Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation	Mihai Surdeanu, Heng Ji	http://nlp.cs.rpi.edu/paper/sf2014overview.pdf
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20	Applications
21	Leveraging Knowledge Bases in LSTMs for Improving Machine Reading	Bishan Yang, Tom Mitchell	https://www.cs.cmu.edu/~bishan/papers/kblstm_acl2017.pdf
22	Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers	Hauswald et al	http://sirius.clarity-lab.org/wp-content/papercite-data/pdf/hauswald15asplos.pdf	https://dl.acm.org/doi/10.1145/2775054.2694347	https://web.eecs.umich.edu/~yunqi/pdf/hauswald2015sirius.pdf
23	Key-Value Memory Networks for Directly Reading Documents	Alexander H. Miller1 Adam Fisch1 Jesse Dodge1,2 Amir-Hossein Karimi1 Antoine Bordes1 Jason Weston1	https://arxiv.org/pdf/1606.03126.pdf
24	Poincaré Embeddings for Learning Hierarchical Representations	Maximilian Nickel, Douwe Kiela	https://arxiv.org/pdf/1705.08039.pdf
25	Embedding Logical Queries on Knowledge Graphs	William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky† Jure Leskovec	https://arxiv.org/pdf/1806.01445.pdf
26	Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers
27	Google Dataset Search: Building a search engine for datasets in an open Web ecosystem	Natasha Noy, Matthew Burgess, Dan Brickley	https://research.google/pubs/pub47845/
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