Wolfram has most definitely not abandoned Graphs & Networks functionality. It is true that all projects at Wolfram go through periods of different intensity of development and the most intense development phase for Graphs & Networks certainly spanned Version 8, 9 and 10. Currently there is a lot of functionality being added and planned, with a focus on several vertical functionalities such as neural networks, chemistry, general trees and geometry. In fact, graphs and networks are being deeply integrated into areas which stress them in new and interesting ways.
The functionality is also being maintained. Here are some recent bug fix statistics: WL 10.0 - 62, WL 11.0 - 27, WL 11.3 - 97. As of today, the number of open bugs is 208. We will have another major batch of bugs fixed in the coming release. Interestingly we find that 70-90% of the bugs we track, are found internally. Of the 24 issues published in an earlier post, the following 5 are fixed in 11.3:
- IsomorphicGraphQ issues?
- HighlightGraph Problem
- GraphAutomorphismGroup bug or my misunderstanding?
- EdgeAdd function not adding edges to a RandomGraph[ ] with edges
- Self-loops in Graph may not display correctly or export correctly to PDF
And many more issues are already fixed in our development version.
Functions such as NeighborhoodGraph, preserve the layout of the input graph. This can be computationally expensive for a large GridGraph[{50,50,50}] with 125 000 vertices and 367 500 edges. Here is a workaround if performance is the primary goal.
g = GridGraph[{50, 50, 50}];
NeighborhoodGraph[g, 123, GraphLayout -> None]
Informations about algorithms are provided to users through Wolfram Technical Support or in public forum such as Wolfram Community .
We are looking forward to dramatic expansions in Graphs & Networks functionality. We are even more excited about its many applications across different domains and the graph related functions in the pipeline. This is a very strong framework that will continue to evolve quite a bit and it is getting integrated in so much functionality that we are starting to take it for granted and becomes part of the everyday fabric of the system.