raunakkmr / Graph-Attention-Networks
PyTorch implementation of Graph Attention Networks
☆19Updated 5 years ago
Related projects: ⓘ
- Graph Convolutional Networks for Text Classification.☆45Updated 4 years ago
- Graph Convolution Network for TensorFlow 2 implementation.☆51Updated 5 years ago
- GCNs Analysis: Visualization, Error Cases etc.☆13Updated last year
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆30Updated 4 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆32Updated 3 years ago
- ☆61Updated 3 years ago
- Graph Neural Networks Paper List of 2019 Conferences☆20Updated 5 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆114Updated 2 years ago
- Source code of "Segmented GRAPH-BERT Model"☆22Updated 4 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 19☆24Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- ☆39Updated last year
- Adversarial Autoencoders for Recommendation Tasks☆19Updated 2 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.☆46Updated 2 years ago
- Meta-Learning for Few Shot Link Prediction☆47Updated 4 years ago
- Graph Star Net☆108Updated 11 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆43Updated 4 years ago
- bilinear graph neural network☆30Updated 4 years ago
- ☆47Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 4 months ago
- ☆51Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆103Updated last month
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems☆106Updated 4 years ago
- A rough re-implement of Text Level Graph Neural Network for Text Classification☆36Updated 4 years ago
- Author: Daheng Wang (dwang8@nd.edu). KDD'20. Modeling temporal graphs.☆16Updated last year
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago