stvdedal / gspanLinks
graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation
☆10Updated 8 years ago
Alternatives and similar repositories for gspan
Users that are interested in gspan are comparing it to the libraries listed below
Sorting:
- Frequent subgraph mining using FFSM algorithm, C++☆10Updated 7 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Updated 12 years ago
- An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.☆64Updated 2 years ago
- Bunch of aproximated graph edit distance algorithms.☆36Updated 7 years ago
- gBolt--very fast implementation for gSpan algorithm in data mining☆58Updated 4 years ago
- Fast graph-regularized matrix factorization☆20Updated 2 years ago
- Contrast Subgraph Mining from Coherent Cores☆13Updated 7 years ago
- OpenMP-based parallel software for computing the truss decomposition of a graph.☆14Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- Implementation of Kernighan-Lin graph partitioning algorithm in Python☆50Updated 6 years ago
- LDP for graph classification☆23Updated 5 years ago
- bipartite-graph-learning☆31Updated 5 years ago
- Graph kernels☆55Updated 3 years ago
- ☆15Updated 5 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 5 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures☆133Updated 4 years ago
- New Algorithms for Learning on Hypergraphs☆41Updated 3 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Experiments with Message Passing GNNs in C++ and PyTorch.☆26Updated last year
- node2vec implementation in C++☆53Updated 5 years ago
- ☆24Updated 3 years ago
- ☆12Updated 5 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- ☆35Updated 6 years ago
- ☆173Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year