asajadi / fast-pagerank
Fast (Personalized) PageRank Implementation
☆64Updated last year
Related projects: ⓘ
- tNodeEmbed☆75Updated last year
- SIGN: Scalable Inception Graph Network☆94Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 3 years ago
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆65Updated last year
- Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures☆129Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Fast and scalable node2vec implementation☆87Updated last year
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆161Updated 3 years ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.☆17Updated last year
- Source code for EvalNE, a Python library for evaluating Network Embedding methods.☆104Updated 5 months ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆92Updated 3 years ago
- A tiny library for large graphs☆111Updated 9 months ago
- Node Embeddings in Dynamic Graphs☆53Updated 2 years ago
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆78Updated 2 months ago
- Benchmark for Graph Embedding Methods☆47Updated 3 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆73Updated 3 years ago
- ☆13Updated 8 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆111Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆221Updated last year
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆75Updated 4 years ago
- HDGI code☆59Updated 4 years ago
- embedding attributed graphs☆58Updated 2 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆115Updated last year
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆65Updated 7 years ago
- Distance Encoding for GNN Design☆181Updated 3 years ago
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"☆55Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆158Updated 2 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆52Updated 2 years ago
- ☆187Updated 8 months ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 3 years ago