BorgwardtLab / P-WLLinks
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
☆63Updated 4 years ago
Alternatives and similar repositories for P-WL
Users that are interested in P-WL are comparing it to the libraries listed below
Sorting:
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆177Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆90Updated 5 years ago
- ☆144Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- ☆173Updated 6 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆188Updated 2 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆212Updated 3 years ago
- A package for computing Graph Kernels☆104Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 5 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Updated 5 months ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- ☆143Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- ☆35Updated 6 years ago