marblet / GNN_models_pytorch_geometricLinks
Implementations of Graph Neural Network models in pytorch geometric
☆18Updated 5 years ago
Alternatives and similar repositories for GNN_models_pytorch_geometric
Users that are interested in GNN_models_pytorch_geometric are comparing it to the libraries listed below
Sorting:
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- ☆302Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆46Updated 2 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 5 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆120Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆214Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- ☆41Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- Dual Graph Convolution Networks☆97Updated 7 years ago
- Graph Convolutional Networks for Text Classification.☆47Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Hypernetwork Knowledge Graph Embeddings☆53Updated 6 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆60Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- ☆105Updated 6 years ago