Luckick / EAGCN
Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
☆202Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for EAGCN
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- ☆136Updated 4 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".☆173Updated 6 years ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆148Updated 5 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆311Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- tensorflow-as-gcn☆92Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 6 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆183Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆99Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆327Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- ☆37Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆154Updated 2 years ago
- ☆415Updated 5 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆283Updated 4 years ago
- Dual Graph Convolution Networks☆93Updated 5 years ago
- Dual Attention Graph Convolutional Network☆87Updated 3 years ago
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆253Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆191Updated 3 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 5 years ago
- Collection of graph neural networks in pytorch☆50Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆365Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆267Updated last year