BorgwardtLab / significant-subgraph-miningLinks
Finding statistically significant subgraphs while correcting for multiple testing
☆8Updated 9 years ago
Alternatives and similar repositories for significant-subgraph-mining
Users that are interested in significant-subgraph-mining are comparing it to the libraries listed below
Sorting:
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆11Updated 3 years ago
- Frequent subgraph mining using FFSM algorithm, C++☆11Updated 7 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Contrast Subgraph Mining from Coherent Cores☆13Updated 7 years ago
- ☆16Updated 3 years ago
- graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation☆11Updated 8 years ago
- ☆12Updated 4 years ago
- Parametric and non-parametric conditional independence testing.☆10Updated 4 years ago
- SNAP repository for Ringo☆14Updated 7 years ago
- ☆19Updated last year
- A very simple library for exploiting graph-of-words in NLP☆12Updated 4 years ago
- Code for core-fringe link prediction☆11Updated 6 years ago
- Network inference by fusing data from diverse distributions☆14Updated 8 years ago
- Multi-task gradient boosting decision tree☆13Updated 2 years ago
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated 2 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 5 years ago
- Bunch of aproximated graph edit distance algorithms.☆36Updated 7 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated last year
- Rule Learning with Embedding Support☆25Updated 2 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- Repository for the paper "Semi-Supervised Exaggeration Detection of Health Science Press Releases" from EMNLP 2021☆13Updated 2 years ago
- Continuous-time Markov model with discrete observations☆11Updated 9 years ago
- Python library for working with graphons☆22Updated 7 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 10 months ago
- Bayesian nonparametric models for python☆18Updated 6 years ago
- Graph kernels☆56Updated 3 years ago
- ☆33Updated 6 years ago
- ☆8Updated 5 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago