shionhonda / gae-dgl
Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
☆65Updated last year
Related projects ⓘ
Alternatives and complementary repositories for gae-dgl
- Graph meta learning via local subgraphs (NeurIPS 2020)☆119Updated 4 months ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆99Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆88Updated 4 years ago
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆115Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- ☆30Updated last year
- GNNExplainer implementation using DGL☆31Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆120Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Graph Neural Networks for Quantum Chemistry☆126Updated 6 years ago
- Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)☆165Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- ☆62Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆70Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆223Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆93Updated 2 years ago
- Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation☆38Updated 4 years ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆148Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 3 years ago
- ☆47Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- HDGI code☆60Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆111Updated 4 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated last year