NaazS03 / cgSpanLinks
Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.
☆12Updated 3 years ago
Alternatives and similar repositories for cgSpan
Users that are interested in cgSpan are comparing it to the libraries listed below
Sorting:
- Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications☆12Updated 6 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- ☆12Updated 3 years ago
- Wasserstein Distance Graph Alignment☆23Updated 4 years ago
- Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)☆23Updated 2 years ago
- ☆21Updated 4 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 5 months ago
- hypergraph representation learning, graph neural network☆98Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆26Updated last year
- ☆31Updated last year
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated last year
- ☆61Updated 3 years ago
- Code for Online Graph Dictionary Learning☆17Updated 3 years ago
- ☆27Updated 8 months ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 5 months ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- ☆18Updated last year
- ☆25Updated 4 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Updated 6 years ago
- This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (…☆23Updated 4 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆26Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆30Updated 2 years ago