davide-belli / graphsage-diffpool-classifier
Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
☆33Updated 6 years ago
Alternatives and similar repositories for graphsage-diffpool-classifier:
Users that are interested in graphsage-diffpool-classifier 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 10 months ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆76Updated 5 years ago
- ☆29Updated 4 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- ☆53Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆55Updated 3 years ago
- Graph Attention Auto-Encoders☆75Updated last year
- ☆52Updated 5 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 10 months ago
- Source code of GResNet☆16Updated 4 years ago
- ☆47Updated 5 years ago
- HDGI code☆61Updated 5 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 7 months ago
- Graph Cross Network☆48Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆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
- Graph Learning Convolution Network☆38Updated last year
- ☆62Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- ☆76Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆75Updated 6 years ago