BorgwardtLab / GraphKernels
A package for computing Graph Kernels
☆104Updated last year
Alternatives and similar repositories for GraphKernels:
Users that are interested in GraphKernels are comparing it to the libraries listed below
- Graph kernels☆56Updated 3 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆156Updated 7 years ago
- ☆172Updated 6 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆124Updated last year
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated last year
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 8 months ago
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 6 years ago
- A graph matching library for Python☆204Updated last year
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆70Updated 2 years ago
- ☆138Updated 4 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆193Updated 4 years ago
- embedding attributed graphs☆57Updated 3 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆95Updated 4 years ago
- OhmNet: Representation learning in multi-layer graphs☆83Updated 4 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆226Updated 5 years ago
- ☆350Updated 5 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 6 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆351Updated 10 months ago
- A package for computing Graph Kernels☆33Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago