Top Trends of Graph Machine Learning in 2020
SourceThe year 2020 has just started but we can already see the trends of Graph Machine Learning (GML) in the latest research papers. Below is my view on what will be important in 2020 for GML and the discussion of these papers. IntroductionThe goal of this article is not on introducing the basic concepts of GML such as graph neural networks (GNNs), but on exposing cutting-edge research that we ca
CS224W | Home
Content What is this course about? Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. By means of studying the underlying graph structure and its features
CS 520: Knowledge Graphs
Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 Tuesdays 4:30-5:50 P.M. PDT and Thursdays 4:30-5:50 P.M. PDT Course Info Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a w
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From Louvain to Leiden: guaranteeing well-connected communities
Communications of the ACM — Communications of the ACM
Graph Mining – Google Research
The Future of Graph Panel : Global Graph Summit 2020
A Graph is a Graph is a Graph: Josh Shinavier at Data Day Texas / Global Graph Summit 2019
MLG 2020 - 16th International Workshop on Mining and Learning with Graphs
Industry-Scale Knowledge Graphs – Communications of the ACM
https://www.juansequeda.com/blog/2020/06/22/sigmod-2020-a-virtual-trip-report/
