Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
☆62Aug 13, 2020Updated 5 years ago
Alternatives and similar repositories for GDC
Users that are interested in GDC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- ☆11Mar 24, 2023Updated 2 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆161Sep 8, 2019Updated 6 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆45Oct 26, 2022Updated 3 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Jun 18, 2020Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 3 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- A framework of graph classification baselines which including TUDataset Loader, GNN models and visualization.☆16Jun 19, 2024Updated last year
- A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)☆17Feb 24, 2021Updated 5 years ago
- ☆17Apr 7, 2021Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Apr 29, 2021Updated 4 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Dec 18, 2023Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆45Feb 14, 2019Updated 7 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆10Jun 15, 2021Updated 4 years ago
- https://arxiv.org/abs/2005.06935☆12Feb 2, 2023Updated 3 years ago
- A curated list of awesome graph structure learning approaches☆39Nov 24, 2024Updated last year
- ☆36Jun 29, 2022Updated 3 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Jun 9, 2025Updated 9 months ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆25Dec 5, 2024Updated last year
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆16Jun 6, 2024Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆200Jun 25, 2024Updated last year
- ☆58Sep 28, 2022Updated 3 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Oct 6, 2020Updated 5 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- ☆19Nov 27, 2022Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- ☆140Jul 9, 2023Updated 2 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Dec 27, 2018Updated 7 years ago
- Source code for GIFT (CIKM 22)☆12Oct 23, 2022Updated 3 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Oct 16, 2023Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆48Mar 15, 2024Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Jul 15, 2021Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 2 years ago
- This is the official implementation of FIRE☆18Nov 1, 2024Updated last year