fry325 / GIN_reproduceLinks
reproduce GNN model: GIN (XU et al. 2019)
☆14Updated 3 years ago
Alternatives and similar repositories for GIN_reproduce
Users that are interested in GIN_reproduce 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…☆138Updated 2 years ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆64Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆174Updated 3 years ago
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆68Updated 2 years ago
- cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets☆13Updated 2 years ago
- ☆49Updated 2 years ago
- ☆115Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated last year
- ☆70Updated 3 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 5 months ago
- ☆80Updated 9 months ago
- ☆60Updated 2 years ago
- ☆47Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆147Updated 6 months ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆104Updated 9 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆332Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 2 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆19Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 5 months ago
- Graph model implementation☆142Updated 3 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☆132Updated 3 years ago
- gnn for link prediction，图神经网络用于链接预测。☆47Updated 2 years ago