malllabiisc / ConfGCN
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
☆59Updated 5 years ago
Alternatives and similar repositories for ConfGCN:
Users that are interested in ConfGCN are comparing it to the libraries listed below
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 6 months ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 4 months ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- ☆35Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- Dual Graph Convolution Networks☆93Updated 6 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 for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 5 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- Sparse graph attention☆17Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated last year
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago