BorgwardtLab / P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
☆61Updated 3 years ago
Alternatives and similar repositories for P-WL:
Users that are interested in P-WL are comparing it to the libraries listed below
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- LDP for graph classification☆23Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 4 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- 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…☆123Updated 5 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 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
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆134Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- ☆172Updated 6 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆26Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- WKPI: A kernel based on persistent homology☆12Updated 4 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆41Updated 6 years ago