ZW-ZHANG / RandNELinks
This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).
☆18Updated 5 years ago
Alternatives and similar repositories for RandNE
Users that are interested in RandNE are comparing it to the libraries listed below
Sorting:
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆56Updated 2 years ago
- ☆47Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 6 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆38Updated 3 years ago
- ☆59Updated 3 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆160Updated last year
- Topological Recurrent Neural Network for Diffusion Prediction☆20Updated 8 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- data set for node classification task☆14Updated 5 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆48Updated 6 years ago
- ☆50Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- HDGI code☆63Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- ☆30Updated 5 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 5 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 3 months ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆77Updated 3 years ago