Mars

Network >2.0

Gaia

Merge pull request #121 from fabriziocosta/modular

major restructuring

Venus

A new way to compute the vectorization of nodes with associated real vectors.

Mercury

GArDen still integrated

EDeN 0.2

• major enhancements to the core EDeN framework
• bugfixes and documentation improvements
• new tools
  • motif finding
  • protease cleavage sites

EDeN - Graph Vectorizer

The Explicit Decomposition with Neighborhoods (EDeN) is a decompositional kernel based on the Neighborhood Subgraph Pairwise Distance Kernel (NSPDK) that can be used to induce an explicit feature representation for graphs. This in turn allows the adoption of machine learning algorithm to perform supervised and unsupervised learning task in a scalable way (e.g. fast stochastic gradient descent methods in classification).

Among the novelties introduced in EDeN is the ability to take in input real vector labels and to process weighted graphs.