asajadi / fast-pagerankLinks
Fast (Personalized) PageRank Implementation
☆69Updated 2 years ago
Alternatives and similar repositories for fast-pagerank
Users that are interested in fast-pagerank are comparing it to the libraries listed below
Sorting:
- tNodeEmbed☆79Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 5 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆163Updated 5 years ago
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆69Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆240Updated 2 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆97Updated 4 years ago
- ☆144Updated 4 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- Node Embeddings in Dynamic Graphs☆57Updated 3 years ago
- Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures☆133Updated 4 years ago
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆107Updated last year
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆88Updated last year
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 4 years ago
- HDGI code☆63Updated 5 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆61Updated 3 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆404Updated last year
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization☆132Updated 3 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 5 years ago
- A tiny library for larger graphs☆119Updated last year
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 5 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆85Updated 3 years ago
- ☆174Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆293Updated 4 years ago