adaliuBC / GATwithEFA_PyTorchLinks
Realization of stroke classification method Graph Attention Network with Edge Feature Attention using PyTorch.
☆22Updated 4 years ago
Alternatives and similar repositories for GATwithEFA_PyTorch
Users that are interested in GATwithEFA_PyTorch are comparing it to the libraries listed below
Sorting:
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆145Updated 2 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 5 years ago
- 图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。☆110Updated 9 months ago
- ☆24Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆178Updated 3 years ago
- ☆73Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆196Updated last year
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆113Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆58Updated last year
- Structural Deep Clustering Network☆289Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆65Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆71Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆99Updated 4 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆173Updated 2 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆359Updated 3 years ago
- ☆46Updated 3 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆83Updated 6 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- PyTorch示例代码;复现GNN模型☆137Updated 4 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- Graph model implementation☆144Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- Hypergraph convolution and attention networks research☆15Updated last year
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 4 years ago