dbblumenthal / gedlib
An easily extensible C++ library for (suboptimally) computing the graph edit distance between attributed graphs.
☆59Updated last year
Alternatives and similar repositories for gedlib:
Users that are interested in gedlib are comparing it to the libraries listed below
- Exact graph edit distance (GED) computation and verification☆55Updated 2 years ago
- C++ library for graph kernel and edit distance algorithm☆15Updated 6 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆124Updated 11 months ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆94Updated 3 years ago
- ☆148Updated 5 years ago
- A package for computing Graph Kernels☆103Updated last year
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆53Updated 6 months ago
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆70Updated 2 years ago
- A graph matching library for Python☆199Updated 9 months ago
- This repository shows an implementation of the VGAE based model with PyTorch.☆11Updated 2 years ago
- ☆52Updated 5 years ago
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 5 years ago
- Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".☆28Updated 2 years ago
- ☆13Updated 6 years ago
- Bunch of aproximated graph edit distance algorithms.☆33Updated 6 years ago
- Ullman Algorithm - An Algorithm for Subgraph Isomorphism☆27Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆27Updated last year
- A package for computing Graph Kernels☆33Updated 6 years ago
- k-hop Graph Neural Networks☆18Updated 4 years ago
- Implementation of a graph edit distance in python☆33Updated 5 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆289Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆186Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆137Updated 3 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆162Updated 4 years ago
- ☆14Updated 6 months ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- ORbit Counting Algorithm☆36Updated 8 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago