GTmac / FastRPLinks
Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"
☆57Updated 5 years ago
Alternatives and similar repositories for FastRP
Users that are interested in FastRP are comparing it to the libraries listed below
Sorting:
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated 11 months ago
- Node Embeddings in Dynamic Graphs☆56Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.☆17Updated 2 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
- A tiny library for larger graphs☆118Updated 8 months ago
- Fast (Personalized) PageRank Implementation☆67Updated last year
- SIGN: Scalable Inception Graph Network☆97Updated 4 years ago
- Fast and scalable node2vec implementation☆93Updated last year
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆70Updated 2 years ago
- tNodeEmbed☆79Updated 2 years ago
- ☆94Updated 2 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- ☆38Updated 10 months ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆106Updated last year
- ☆33Updated 6 months ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆68Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆62Updated 5 years ago
- PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆36Updated 3 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec☆163Updated this week
- Temporal Graph Benchmark project repo☆219Updated this week
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Benchmark for Graph Embedding Methods☆48Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Scalable and fast non-redundant rule application for link prediction☆45Updated 9 months ago
- Scalable Graph Neural Networks with Deep Graph Library☆22Updated 4 years ago