Release Date: 9 July 2019
New features
- Added procedures to compute memory requirements for UnionFind, LabelPropagation and PageRank as well as for graph loading (algo.memrec)
- Added different concurrency values for read/write, in addition to compute
- Added relationship counts and degree distribution statistics to graph load and graph info procedures
Bug fixes
- PageRank: Fixed null-pointer exception when running on a graph loaded with incoming relationships
- Huge Graph: Fixed bug in relationship loading, prevented concurrent access to relationship cursors during execution
- Error handling: when users supply incorrect or non-existent node or relationship labels, algorithms now throw an error instead of executing over the full graph
Improvements
- Increased histogram accuracy in community detection algorithms
- Improved node loading for Huge Graphs
- Changed weight encoding from map to parallel array (faster processing)
- Louvain algorithm: improved algorithm performance by merging some iterations, reducing allocation, removing some levels of indirection, and using weighted iterators
Recent Graph Data Science Releases
- Graph Data Science 2.12
- Graph Data Science 2.11
- Graph Data Science 2.10.1
- Graph Data Science 2.9.0
- Graph Data Science 2.8.0