SIGN: Scalable Inception Graph Network
☆95Nov 3, 2020Updated 6 years ago
Alternatives and similar repositories for sign
Users that are interested in sign are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆39Sep 23, 2021Updated 5 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆73Nov 24, 2020Updated 5 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆36Oct 24, 2022Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆115Apr 4, 2021Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Jan 27, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆129Jul 22, 2022Updated 4 years ago
- ☆19Mar 21, 2022Updated 4 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Apr 21, 2021Updated 5 years ago
- Distance Encoding for GNN Design☆186Mar 20, 2021Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆100Apr 25, 2022Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 4 years ago
- ☆26Jul 15, 2021Updated 5 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Dec 9, 2021Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆167Aug 30, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆114Nov 14, 2021Updated 4 years ago
- ☆16May 20, 2020Updated 6 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Mar 21, 2022Updated 4 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆154Oct 11, 2022Updated 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…☆136Mar 18, 2022Updated 4 years ago
- ☆35Aug 5, 2023Updated 3 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆26Nov 3, 2020Updated 6 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆129Apr 5, 2022Updated 4 years ago
- Benchmarking equivariant neural networks.☆10Dec 5, 2020Updated 5 years ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Jun 11, 2021Updated 5 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Apr 24, 2024Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆367Jul 9, 2020Updated 6 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆276Apr 26, 2023Updated 3 years ago
- ☆11Apr 16, 2023Updated 3 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26May 21, 2019Updated 7 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- ☆85May 16, 2022Updated 4 years ago
- TGN: Temporal Graph Networks☆1,214May 28, 2024Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117May 5, 2020Updated 6 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆23Sep 14, 2024Updated 2 years ago