leftthomas / DGCNNLinks
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
☆65Updated 2 years ago
Alternatives and similar repositories for DGCNN
Users that are interested in DGCNN are comparing it to the libraries listed below
Sorting:
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆343Updated 4 years ago
- ☆62Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- ☆152Updated 6 years ago
- Graph Cross Network☆48Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆62Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 7 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆103Updated 4 years ago
- ☆302Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆336Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Updated 4 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Updated 5 years ago
- ☆49Updated 6 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆212Updated 5 years ago
- ☆96Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 4 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago