Graph Databases and Knowledge Graphs

Graph Databases: New Opportunities for Connected Data
Ian Robinson, Jim Webber, Emil Eifrem
https://hura.hr/wp-content/uploads/2016/10/Graph_Databases_2e_Neo4j-5.pdf

Knowledge Graphs
Aidan Hogan et al.
https://arxiv.org/pdf/2003.02320.pdf

An Introduction to Graph Data Management
Renzo Angles and Claudio Gutierrez
https://arxiv.org/pdf/1801.00036.pdf

A Comparison of Current Graph Database Models
Renzo Angles
http://www.renzoangles.net/files/gdm2012.pdf

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries: Towards Understanding Modern Graph Processing, Storage, and Analytics
Maciej Besta, Emanuel Peter, Robert Gerstenberger, Marc Fischer, Michael Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler
https://arxiv.org/pdf/1910.09017.pdf

Directly Mapping RDF Databases to Property Graph Databases
Renzo Angles, Harsh Thakkar, Dominik Tomaszuk
https://arxiv.org/pdf/1912.02127.pdf

Property Graph Schema Optimization for Domain-Specific Knowledge Graphs
Chuan Lei, Rana Alotaibi, Abdul Quamar, Vasilis Efthymiou, Fatma Özcan
https://arxiv.org/pdf/2003.11580.pdf

Graph Query Languages

Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs
Jens Dörpinghaus Andreas Stefan
https://arxiv.org/pdf/2002.03686.pdf

The Gremlin Graph Traversal Machine and Language
Marko A. Rodriguez
https://arxiv.org/pdf/1508.03843.pdf

Towards an Integrated Graph Algebra for Graph Pattern Matching with Gremlin
Harsh Thakkar1, S ̈oren Auer1,2, Maria-Esther Vida
https://arxiv.org/pdf/1908.06265.pdf

Formalising openCypher Graph Queries in Relational Algebra
József Marton1, Gábor Szárnyas2,3, and Dániel Varró
https://arxiv.org/pdf/1705.02844.pdf

G-CORE: A Core for Future Graph Query Languages
Designed by the LDBC Graph Query Language Task Force
https://arxiv.org/pdf/1712.01550.pdf

Benchmarking

Benchmarking Graph Data Management and Processing Systems: A Survey
Miyuru Dayarathna, Toyotaro Suzumura
https://arxiv.org/pdf/2005.12873.pdf

Graphs in Data Science and Machine Learning

The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing: Extended Survey
Siddhartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu
https://arxiv.org/pdf/1709.03188.pdf

Top Trends of Graph Machine Learning in 2020
Sergei Ivanov
https://towardsdatascience.com/top-trends-of-graph-machine-learning-in-2020-1194175351a3

Representation Learning on Graphs: Methods and Applications
William L. Hamilton, Rex Ying, Jure Leskovec
https://www-cs.stanford.edu/people/jure/pubs/graphrepresentation-ieee17.pdf

Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Re, and Kevin Murphy
https://arxiv.org/pdf/2005.03675.pdf

Graph Representation Learning: A Survey
Fenxiao Chen, Yuncheng Wang, Bin Wang and C.-C.Jay Kuo
https://arxiv.org/pdf/1909.00958.pdf

AGL: A Scalable System for Industrial-purpose Graph Machine Learning
Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Yang Shuang, Yuan Qi
https://arxiv.org/pdf/2003.02454.pdf

Graph Learning with Loss-Guided Training
Eliav Buchnik, Edith Cohen
https://arxiv.org/pdf/2006.00460.pdf

Causality Learning: A New Perspective for Interpretable Machine Learning
Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu and Xianzhi Wang
https://arxiv.org/pdf/2006.16789.pdf

Joint Embedding of Structure and Features via Graph Convolutional Networks
Sbastien Lerique, Jacob Levy Abitbol1, and Mrton Karsa
https://arxiv.org/pdf/1905.08636.pdf

Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
Hung Nghiep Tran, Atsuhiro Takasu
https://arxiv.org/pdf/1903.11406.pdf

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark J. Coates
https://arxiv.org/pdf/2007.15531.pdf