Skip to main content

Changelog

v1.6.1 - Mar 20, 2023​

Features and improvements​

  • With the export_util.csv_query() procedure, you can export query results to a CSV file or as a stream. #199
  • Similarity algorithms (jaccard, overlap and cosine) have been rewritten in C++ to improve performance. #196

v1.6 - Jan 30, 2023​

Major Features and Improvements​

v1.5.1 - Jan 20, 2023​

Major Features and Improvements​

  • The version of MemgraphDB that will be used in the Docker image has been updated to 2.5.1. #193

v1.5 - Dec 20, 2022​

Major Features and Improvements​

  • Now you can find ancestors (all the nodes from which a path exists ) and descendants (all nodes to which a path exists) starting from a certain node, sort directed acyclic graph in a way that a node which appears before others is first, return a subgraph from nodes using connect_nodes method, and create relationships between nodes in a list using the chain_nodes method. #180
  • C++ API is now aligned with Memgraph 2.5 #184
  • Graph Coloring no longer outputs strings but vertices and integers. This allows you to use the result of graph coloring directly in Memgraph Lab. #177

Bug Fixes​

  • By enabling module reset, you can now train and evaluate the model without shutting down the database. Class labels can now start from 0 or negative numbers. The low limit of the early stopping flag no longer prematurely stops the training of the model while running the Node classification module. #173

v1.4 - Nov 15, 2022​

Major Features and Improvements​

  • Implemented Link prediction with DGL. #160
  • Implemented Node classification with PyTorch. #161
  • Added igraph support. #150
  • Added k-means embedding clustering algorithm. #105
  • Added better support for C++ API. #174

Bug Fixes​

  • Enable module reset to be able to train and evaluate without shutting down database, enable working with class labels which don't start from 0, and fix potential early stopping due to low limit in the Node classification module. #173

v1.3.2 - Oct 10, 2022​

Major Features and Improvements​

  • Allowed restricting community detection to subgraphs. #152
  • Implemented the degree centrality algorithm. #162
  • Updated Memgraph version. #171

Bug Fixes​

  • Dynamic betweenness centrality bugfix. #147

v1.3.1 - Jul 14, 2022​

Major Features and Improvements​

  • Updated Memgraph version. #154
  • Introduced E2E group testing. #145

v1.3 - May 23, 2022​

Major Features and Improvements​

  • Added integration between cuGraph and Memgraph integration. #99

Bug Fixes​

  • Fixed node deletion. #141

v1.2 - Apr 20, 2022​

Major Features and Improvements​

  • Implemented Temporal graph networks. #121
  • Implemented Dynamic Betweenness Centrality. #127
  • Implemented Dynamic Katz Centrality. #117
  • Implemented Louvain Community Detection. #48
  • Implemented Maximum Flow. #125
  • Implemented Static Katz Centrality. #117
  • Added utility Import/Export module (JSON). #100
  • Bumped the version of Black formatter. #132

Bug Fixes​

  • Fixed IsSubset checking for unordered set. #135
  • Fixed Continuous integration. #133
  • Fixed E2E testing. #128
  • Fixed ID validity check. #129

v1.1 - Dec 13, 2021​

Major Features and Improvements​

  • Updated rsmgp-sys to the new MGP API. #78
  • Add temporal type to rsmgp-sys. #82
  • Implemented node2vec. #81
  • Updated GraphView abstraction. #85
  • Implemented approximative streaming PageRank. #69
  • Implemented weighted graph methods built for dynamic community detection. #89
  • Implemented LabelRankT dynamic community detection algorithm. #66

Bug Fixes​

  • Fixed memory leakage. #77
  • Solved dependency vulnerability. #83
  • Fixed set_cover.greedy result type bug. #76
  • Fixed MAGE installation on Linux based distro. #92