nd7141 / bgnnLinks
☆173Updated last year
Alternatives and similar repositories for bgnn
Users that are interested in bgnn are comparing it to the libraries listed below
Sorting:
- ☆51Updated 4 years ago
- ☆146Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- ☆206Updated 4 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 5 years ago
- ☆85Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆212Updated 2 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆153Updated 5 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 9 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆297Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- This is a Pytorch implementation of GraphLIME☆94Updated 3 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆473Updated 2 years ago
- ☆174Updated 6 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆179Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 9 months ago