nd7141 / bgnnLinks
☆170Updated 11 months ago
Alternatives and similar repositories for bgnn
Users that are interested in bgnn are comparing it to the libraries listed below
Sorting:
- ☆50Updated 3 years ago
- ☆202Updated 3 years ago
- ☆138Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆144Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆62Updated 5 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆134Updated 3 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆174Updated 3 years ago
- ☆82Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆288Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 2 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆349Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 2 years ago
- ☆135Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆191Updated 3 months ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- ☆96Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated last year