LasseRegin / gSpanLinks
Implementation of the depth-first gSpan algorithm for frequent graph mining in graphs data set. Finds possible frequent and canonical extensions of a given graph from a given set of graphs.
☆19Updated 7 years ago
Alternatives and similar repositories for gSpan
Users that are interested in gSpan are comparing it to the libraries listed below
Sorting:
- LEMON: A local algorithm for fast, high-precision overlapping community detection☆54Updated 7 years ago
- Frequent subgraph mining using FFSM algorithm, C++☆11Updated 7 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of ma…☆114Updated last year
- Rule Learning with Embedding Support☆25Updated 2 years ago
- Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.☆204Updated 4 years ago
- ☆8Updated 5 years ago
- node2vec implementation in C++☆52Updated 5 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆56Updated 6 years ago
- embedding attributed graphs☆57Updated 3 years ago
- graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation☆11Updated 8 years ago
- ☆16Updated 5 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆162Updated 4 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 6 years ago
- AutoGRD is a meta-learning method for algorithm recommendation☆16Updated 5 years ago
- Code for PAKDD-2018 paper "MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding"☆22Updated 6 years ago
- Learning node representation using edge semantics☆53Updated 5 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆187Updated 5 years ago
- Multi-Graph Multi-Label Learning☆11Updated 7 years ago
- Awesome Graph Embedding Techinques☆60Updated 6 years ago
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆11Updated 3 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch☆37Updated 7 years ago
- This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).☆17Updated 7 years ago
- DrBC: A novel graph neural network approach to identify high Betweenness Centraliy (BC) nodes ( CIKM'19 )☆31Updated 4 years ago
- Library of graph algorithms for Apache Giraph.☆8Updated 9 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 7 years ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆125Updated 2 years ago
- Benchmark for Graph Embedding Methods☆48Updated 4 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago