nd7141 / bgnn
☆170Updated 9 months ago
Alternatives and similar repositories for bgnn:
Users that are interested in bgnn are comparing it to the libraries listed below
- ☆49Updated 3 years ago
- ☆201Updated 3 years ago
- ☆136Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 10 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆132Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- ☆80Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆62Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- ☆132Updated last year
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆303Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆57Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆253Updated 3 years ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 3 months ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆232Updated last year
- Official implementation of our FLAG paper (CVPR2022)☆143Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆129Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year