Position-aware Graph Neural Networks
☆402Oct 12, 2020Updated 5 years ago
Alternatives and similar repositories for P-GNN
Users that are interested in P-GNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distance Encoding for GNN Design☆187Mar 20, 2021Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,285Jul 1, 2021Updated 5 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆733Jan 20, 2022Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆850Dec 13, 2021Updated 4 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆406Nov 6, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Jun 27, 2019Updated 7 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆191Mar 22, 2022Updated 4 years ago
- ☆430Mar 8, 2019Updated 7 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,278Mar 18, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,095May 6, 2025Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,723Aug 4, 2024Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Feb 20, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆511Jan 13, 2021Updated 5 years ago
- Code for Graphite iterative graph generation☆59Jun 7, 2019Updated 7 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆482Aug 3, 2023Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆201Mar 6, 2024Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆323Dec 9, 2024Updated last year
- Graph Neural Network Library for PyTorch☆24,068Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- links to conference publications in graph-based deep learning☆5,097Jun 7, 2026Updated 3 months ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 4 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆549Sep 17, 2020Updated 5 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆804Nov 6, 2022Updated 3 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,903Nov 10, 2023Updated 2 years ago
- ☆367Jun 25, 2024Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,281Jul 31, 2025Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Nov 10, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Graph Markov Neural Networks☆414Jul 8, 2020Updated 6 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task