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:
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 6 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 5 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆46Updated last year
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 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 weeks ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆47Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated 2 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆56Updated 7 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- ☆59Updated 2 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated 2 years ago
- ☆47Updated 5 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆51Updated 3 years ago
- ☆75Updated 2 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆76Updated 5 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Updated 6 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- HDGI code☆63Updated 5 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- ☆40Updated 7 years ago