HanGuangXin / Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorchLinks
Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.
☆44Updated 5 years ago
Alternatives and similar repositories for Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch
Users that are interested in Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch are comparing it to the libraries listed below
Sorting:
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- Collect papers about graph☆76Updated 5 years ago
- Graph Convolutional Networks for Text Classification.☆46Updated 6 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer☆19Updated 6 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Dual Graph Convolution Networks☆96Updated 6 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated last year
- Graph Knowledge Distillation☆13Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- Source code of GResNet☆16Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆43Updated 2 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Updated 3 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆83Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago