murphyyhuang / gnn_hierarchical_pooling
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
☆79Updated 5 years ago
Alternatives and similar repositories for gnn_hierarchical_pooling:
Users that are interested in gnn_hierarchical_pooling are comparing it to the libraries listed below
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- ☆29Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆238Updated 4 years ago
- ☆95Updated 4 years ago
- Graph Learning Convolution Network☆38Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- ☆266Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 9 months ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆115Updated 5 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- ☆53Updated 5 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆170Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆156Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 3 years ago
- an implementation of FastGCN with pytorch☆51Updated 4 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆134Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆104Updated 5 months ago