vwz / AGE
Active Learning for Graph Embedding
☆32Updated 7 years ago
Alternatives and similar repositories for AGE:
Users that are interested in AGE are comparing it to the libraries listed below
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆37Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- data set for node classification task☆14Updated 5 years ago
- ☆31Updated last year
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆46Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- HDGI code☆61Updated 5 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆74Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 7 months ago
- ☆20Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last month
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 3 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago