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:
- Frequent subgraph mining using FFSM algorithm, C++☆11Updated 7 years ago
- graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation☆11Updated 8 years ago
- Contrast Subgraph Mining from Coherent Cores☆13Updated 7 years ago
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆10Updated 3 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- Code for core-fringe link prediction☆11Updated 6 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 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
- Graph kernels☆56Updated 3 years ago
- Benchmark for Graph Embedding Methods☆48Updated 4 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!☆60Updated 5 years ago
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Updated 12 years ago
- Bunch of aproximated graph edit distance algorithms.☆36Updated 6 years ago
- Relation learning on content-rich diffusion networks☆12Updated 6 years ago
- ☆12Updated 4 years ago
- Approximate subgraph motif mining through learnable edge contraction.☆13Updated last year
- Local community detection code that implements the methods used in Think Locally, Act Locally: The Detection of Small, Medium-Sized, and …☆13Updated 7 years ago
- Subgraph matching and isomorphisms in Python.☆27Updated 2 years ago
- ☆15Updated 3 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated last year
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 5 years ago
- Fast graph-regularized matrix factorization☆20Updated last year
- ☆8Updated 5 years ago
- Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings☆33Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 4 years ago
- CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)☆16Updated 7 months ago
- ☆16Updated 5 years ago
- Deep Graph Kernels☆13Updated 9 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago