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:
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆31Updated 8 months ago
- Code for generative hypergraph clustering via modularity-like objective functions.☆24Updated 3 years ago
- ☆13Updated 4 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion☆20Updated 2 years ago
- Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)☆18Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Egocentric Temporal Motifs Miner☆12Updated 3 years ago
- Knowledge Hypergraphs: Prediction Beyond Binary Relations is a ServiceNow Research project that was started at Element AI.☆32Updated 3 years ago
- Repository for the AAAI 2022 paper: Directed Graph Auto-Encoders☆20Updated 3 years ago
- Source code for VLDB 2020 paper "Hypergraph Motifs: Concepts, Algorithms, and Discoveries."☆16Updated last year
- Spatiotemporal datasets collected for network science, deep learning and general machine learning research.☆60Updated last year
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- ☆12Updated 2 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- Local Community Detection in Multiple Netwrks☆14Updated 4 months ago
- Node Embeddings in Dynamic Graphs☆56Updated 3 years ago
- Python implementation of the CHIP network model, published in NeurIPS 2020.☆9Updated 2 years ago
- ☆143Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- New Algorithms for Learning on Hypergraphs☆40Updated 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
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- An Implementation of 1-Weisfeiler-Lehman Algorithm using Deep Graph Library☆9Updated 5 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Updated last year
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 6 years ago
- ☆8Updated 5 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