nveldt / HypergraphFlowClusteringLinks
☆12Updated 3 years ago
Alternatives and similar repositories for HypergraphFlowClustering
Users that are interested in HypergraphFlowClustering are comparing it to the libraries listed below
Sorting:
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Code for generative hypergraph clustering via modularity-like objective functions.☆24Updated 3 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆32Updated 11 months ago
- ☆13Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- New Algorithms for Learning on Hypergraphs☆41Updated 3 years ago
- ☆18Updated 3 years ago
- ☆12Updated 4 years ago
- ☆35Updated 6 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆25Updated 5 years ago
- Data for the paper "Simplicial closure and higher-order link prediction"☆22Updated 6 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- ☆12Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- Subgraph matching and isomorphisms in Python.☆28Updated 2 years ago
- Software for "Configuration Models of Random Hypergraphs"☆29Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 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