THUDM / GraphSGANLinks
Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
☆86Updated 5 years ago
Alternatives and similar repositories for GraphSGAN
Users that are interested in GraphSGAN are comparing it to the libraries listed below
Sorting:
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- ☆137Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- tensorflow-as-gcn☆89Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆141Updated 6 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)☆65Updated 6 years ago
- ☆30Updated 5 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 6 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70Updated 6 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 3 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 6 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆57Updated 7 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 6 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆46Updated 2 years ago