vermaMachineLearning / FGSD
Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
☆24Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for FGSD
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆81Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆60Updated 3 years ago
- mixed membership stochastic block model☆13Updated 8 years ago
- ☆35Updated 5 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- LDP for graph classification☆23Updated 5 years ago
- ☆16Updated 4 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- Graph kernels☆55Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Fast graph-regularized matrix factorization☆20Updated last year
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 6 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated last year
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 6 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆60Updated 6 years ago
- ☆26Updated 3 years ago
- Four of the main kernels on graphs Python implementation.☆16Updated 7 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆54Updated last year
- ☆12Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- ☆30Updated last year
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆101Updated 4 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 4 years ago