RapidsAtHKUST / SimRank
1) SimRank (single pair query, parallel all pair computation / dynamic updates) - by Yue Wang (https://github.com/KeithYue) and Yulin Che (https://github.com/CheYulin). 2) top-k version (https://github.com/CheYulin/SimRank/tree/develop) by Yue Wang and Zonghao Feng (https://github.com/unisolate)
☆14Updated 4 years ago
Alternatives and similar repositories for SimRank:
Users that are interested in SimRank are comparing it to the libraries listed below
- ☆35Updated 6 years ago
- CPU-based multi-thread implementation of Task-guided and Path-augmented Heterogeneous Network Embedding☆17Updated 7 years ago
- Contrast Subgraph Mining from Coherent Cores☆13Updated 6 years ago
- Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding☆14Updated 6 years ago
- multi-label classification on DBLP dataset with DeepWalk algorithm to extract latent dimension☆14Updated 10 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 7 years ago
- Text-to-network based datasets.☆9Updated 5 years ago
- Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks☆26Updated 6 years ago
- Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network☆14Updated 6 years ago
- ☆14Updated 6 years ago
- Large-Scale Embedding Learning in Heterogeneous Event Data☆8Updated 8 years ago
- The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.☆12Updated 6 years ago
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Updated 5 years ago
- Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"☆17Updated 7 years ago
- Discrete Factorization Machines☆10Updated 6 years ago
- Incremental Learning the Hierarchical Softmax Function for Neural Language Models☆11Updated 8 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Updated 11 years ago
- Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".☆12Updated 6 months ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 5 years ago
- ☆12Updated 6 years ago
- Code for Learning K-way D-dimensional Discrete Codes For Compact Embedding Representations☆28Updated 6 years ago
- Codes for paper "An Embedding Approach to Anomaly Detection."☆14Updated 6 years ago
- Implementation of ComE algorithm☆59Updated 2 years ago
- Incremental vertex representation learning using random walks and skip-gram model.☆12Updated 5 years ago
- The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)☆17Updated last year
- ☆16Updated 6 years ago
- Network Embedding Survey and Resources☆41Updated 7 years ago
- This is a demo for training GATs on giant graphs with dgl nodeflow.☆9Updated 5 years ago