liqimai / gcnLinks
Implementation of Graph Convolutional Networks in TensorFlow
☆45Updated 7 years ago
Alternatives and similar repositories for gcn
Users that are interested in gcn 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…☆124Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 10 months ago
- ☆29Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- ☆137Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- ☆51Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Active Learning for Graph Embedding☆32Updated 8 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 10 months ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- tensorflow-as-gcn☆90Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- HDGI code☆61Updated 5 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago