List of Supported and Planned Algorithms#
Supported Graph Types#
| Type | Description |
|---|---|
| Graph | A directed or undirected Graph (use directed={True, False}) |
| Multigraph | A Graph with multiple edges between a vertex pair |
ALL Algorithms support Graphs and MultiGraph (directed and undirected)
Supported Algorithms#
Italic algorithms are planned for future releases.
Note: Multi-GPU, or MG, includes support for Multi-Node Multi-GPU (also called MNMG).
| Category | Notebooks | Scale | Notes |
|---|---|---|---|
| Centrality | Centrality | ||
| Katz | Multi-GPU | ||
| Betweenness Centrality | Multi-GPU | MG as of 23.06 | |
| Edge Betweenness Centrality | Multi-GPU | MG as of 23.08 | |
| Eigenvector Centrality | Multi-GPU | ||
| Degree Centrality | Multi-GPU | Python only | |
| Community | |||
| Leiden | Multi-GPU | MG as of 23.06 | |
| Louvain | Multi-GPU | ||
| Ensemble Clustering for Graphs | Single-GPU | MG planned for 24.02 | |
| Spectral-Clustering - Balanced Cut | Single-GPU | ||
| Spectral-Clustering - Modularity | Single-GPU | ||
| Subgraph Extraction | Single-GPU | ||
| Triangle Counting | Multi-GPU | ||
| K-Truss | Single-GPU | MG planned for 2024 | |
| Components | |||
| Weakly Connected Components | Multi-GPU | ||
| Strongly Connected Components | Single-GPU | ||
| Core | |||
| K-Core | Multi-GPU | ||
| Core Number | Multi-GPU | ||
| Flow | |||
| MaxFlow | --- | ||
| Influence | |||
| Influence Maximization | --- | ||
| Layout | |||
| Force Atlas 2 | Single-GPU | ||
| Linear Assignment | |||
| Hungarian | Single-GPU | README | |
| Link Analysis | |||
| Pagerank | Multi-GPU | C++ README | |
| Personal Pagerank | Multi-GPU | C++ README | |
| HITS | Multi-GPU | ||
| Link Prediction | |||
| Jaccard Similarity | Multi-GPU | Directed graph only | |
| Weighted Jaccard Similarity | Single-GPU | ||
| Overlap Similarity | Multi-GPU | ||
| Sorensen Coefficient | Multi-GPU | MG is unweighted only | |
| Local Clustering Coefficient | --- | ||
| Sampling | |||
| Uniform Random Walks RW | Multi-GPU | ||
| Biased Random Walks (RW) | --- | ||
| Egonet | Multi-GPU | ||
| Node2Vec | Multi-GPU | ||
| Neighborhood sampling | Multi-GPU | ||
| Traversal | |||
| Breadth First Search (BFS) | Multi-GPU | with cutoff support C++ README | |
| Single Source Shortest Path (SSSP) | Multi-GPU | C++ README | |
| ASSP / APSP | --- | ||
| Tree | |||
| Minimum Spanning Tree | Single-GPU | ||
| Maximum Spanning Tree | Single-GPU | ||
| Other | |||
| Renumbering | Multi-GPU | multiple columns, any data type | |
| Symmetrize | Multi-GPU | ||
| Path Extraction | Extract paths from BFS/SSP results in parallel | ||
| Two Hop Neighbors | Multi-GPU | ||
| Data Generator | |||
| RMAT | Multi-GPU | ||
| Barabasi-Albert | --- | ||
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