jajupmochi / graphkit-learnLinks
A python package for graph kernels, graph edit distances, and graph pre-image problem.
☆128Updated last month
Alternatives and similar repositories for graphkit-learn
Users that are interested in graphkit-learn are comparing it to the libraries listed below
Sorting:
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆95Updated 2 years ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆123Updated 5 years ago
- A package for computing Graph Kernels☆104Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 10 months ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆143Updated 4 years ago
- A package for computing Graph Kernels☆33Updated 6 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆64Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- A graph matching library for Python☆207Updated last year
- This is a Pytorch implementation of GraphLIME☆92Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- ☆27Updated 6 months ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- ☆354Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- ☆60Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆69Updated 2 months ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆125Updated 11 months ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 5 months ago
- Parameterized Explainer for Graph Neural Network☆136Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆192Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- A scikit-learn compatible library for graph kernels☆625Updated 8 months ago