Graphs and graph algorithms are hot research topics, and new papers are published every week proposing new approaches to community detection, dynamic graph evolution, anomaly detection in networks, and so on. In this section, we will detail several ways to keep learning about graph algorithms and learn about the latest progress that makes them even more powerful.
State-of-the-art graph algorithms
Published papers about graphs can be found in dedicated journals such as the Journal of Graph Algorithms and Applications (http://jgaa.info). Papers with code also do amazing work collecting papers where the code is publicly available. The graph section (https://paperswithcode.com/area/graphs) provides a nice overview of the top current research topics regarding graphs.
However, if you can't afford to read multiple papers a week, you can still extend your knowledge about graphs and stay up to date with the latest advances by regularly checking packages...
