leoguti85 / GraphEmbsLinks
Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
☆18Updated 5 years ago
Alternatives and similar repositories for GraphEmbs
Users that are interested in GraphEmbs 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
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 5 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 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
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆50Updated 2 years ago
- project GCN-VAE for knowledge graphs☆16Updated 5 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Emb…☆26Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆62Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 5 years ago
- ☆50Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis☆20Updated 3 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)☆15Updated 4 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 4 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 6 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).☆35Updated 3 years ago
- PyTorch implementation of Graph Attention Networks☆21Updated 6 years ago