cnmusco / graph-similarity-learningLinks
Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
☆31Updated 7 years ago
Alternatives and similar repositories for graph-similarity-learning
Users that are interested in graph-similarity-learning are comparing it to the libraries listed below
Sorting:
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- 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
- Multilinear Factorization Machines for multi-task multi-view learning☆19Updated 8 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"☆41Updated 6 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- Tensor spectral clustering.☆29Updated 8 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- LEMON: A local algorithm for fast, high-precision overlapping community detection☆55Updated 8 years ago
- Fast consensus clustering in networks☆22Updated last year
- Graph kernels☆55Updated 3 years ago
- Algorithms for local community detection in networks☆26Updated 8 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Four of the main kernels on graphs Python implementation.☆16Updated 8 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 8 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- EasyMKL☆15Updated 7 years ago
- Source Code of GraRep☆52Updated 7 years ago
- codes for the paper General Tensor Spectral Co-clustering for Higher-Order Data☆17Updated 8 years ago
- Community Detection in Graphs (master's degree short project)☆39Updated 3 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".☆21Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Spectral Clustering for Complex Graphs☆39Updated 11 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆206Updated 2 years ago