priba / siamese_gedLinks
Learning Graph Distances with Message PassingNeural Networks
☆13Updated 11 months ago
Alternatives and similar repositories for siamese_ged
Users that are interested in siamese_ged are comparing it to the libraries listed below
Sorting:
- Bunch of aproximated graph edit distance algorithms.☆36Updated 7 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆61Updated 2 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.☆10Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 4 years ago
- Graph Neural Network☆19Updated 3 years ago
- Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…☆8Updated 4 years ago
- A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.☆11Updated 7 years ago
- Signal recovery and sampling over graphs☆16Updated 6 years ago
- ☆16Updated 5 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- ####Goals#### * Implement the following clustering algorithms: K-means and Kernel K-means. * Implement the following supervised clusteri…☆9Updated 10 years ago
- Multi-Graph Multi-Label Learning☆11Updated 7 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- ☆8Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".☆20Updated 2 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 5 years ago
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆11Updated 3 years ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆29Updated 2 years ago
- Subgraph matching and isomorphisms in Python.☆27Updated 2 years ago
- A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).☆9Updated 2 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library☆9Updated 5 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 10 months ago
- New Algorithms for Learning on Hypergraphs☆40Updated 3 years ago