0.33.1

• Upgrade Numpy dependency

v0.33.0

• Add Python 3.12
• Drop Python 3.8

0.32.1

• Add Leiden clustering algorithm
• Add k-center clustering algorithm
• Add functions to detect and break cycles
• Add damping factor in diffusion
• Fix F1 scores
• Remove hierarchical Louvain embedding
• Get clustering coefficient for directed graphs

0.31.0

• Add Python 3.11
• Add set_param / get_param to algorithms, suggested by Franz Kiraly (#557)
• Compute shortest paths by matrix-vector multiplications
• Make tools on topology (cliques, code-decomposition, etc.) as functions
• Rename parameter membership -> probs for soft classification / clustering
• Add softmax to classification by diffusion

0.30.0

• Add overview
• Add predict_proba method to classification and clustering

0.29.0

• Change API for clustering (predict / transform)
• Change API for classification (seeds -> labels)
• Change API for ranking (seeds -> weights)
• Change API for GNN (same as classifiers)
• Remove first order methods for link prediction
• Add nearest neighbor methods for link prediction
• Add KNN classifier without embedding
• Add TF-IDF
• Solve security issues by upgrade of wheels and ipython

0.28.3

• Drop Python 3.7
• Update Numpy requirement

0.28.2

• Allow Python 3.7 (now working on Colab forcing numpy in 1.22)
• Fix data format on KMeans

v0.28.1

• Fix sampling for GraphSage
• Fix leakage on GNNs
• Update tutorial on GNNs with node inference

0.28.0

• Update Graph neural networks (e.g., add GraphSAGE)
• Clean data home folder (set one folder per dataset collection, NetSet, Konect, ...)
• Improve classification by diffusion, setting -1 to unreached nodes
• Fix bug on modularity
• Clean up source distribution
• Safe file extraction
• Fix bug on dendrogram cut
• Add a function to aggregate a graph per label