amin-salehi / GATELinks
Graph Attention Auto-Encoders
☆78Updated 2 years ago
Alternatives and similar repositories for GATE
Users that are interested in GATE are comparing it to the libraries listed below
Sorting:
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆105Updated 5 years ago
- HDGI code☆62Updated 5 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- ☆97Updated 4 years ago
- ☆51Updated 3 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆158Updated 2 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- ☆49Updated 6 years ago
- ☆58Updated 6 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- ☆29Updated 4 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- ☆68Updated 3 years ago
- ☆32Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆202Updated 4 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆115Updated 4 years ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆230Updated last year
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 4 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆46Updated 6 years ago