☆94Jan 28, 2023Updated 3 years ago
Alternatives and similar repositories for ssp
Users that are interested in ssp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆366Jul 9, 2020Updated 6 years ago
- Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric☆11Mar 24, 2023Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 6 years ago
- A simple Graph Net in PyTorch☆24May 23, 2020Updated 6 years ago
- ☆33May 2, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [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
- Source code of GResNet☆17Sep 16, 2020Updated 6 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Dec 9, 2024Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 2022Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆75Apr 5, 2023Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- Supervised community detection with line graph neural networks☆90Sep 19, 2020Updated 6 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆242Jun 24, 2023Updated 3 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.
- Graph partitioning for distributed GNN training☆13Mar 26, 2023Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 6 years ago
- ☆16May 20, 2020Updated 6 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆529Mar 25, 2021Updated 5 years ago
- Benchmark scripts for comparing tutorials in PyTorch and JAX☆14Aug 25, 2022Updated 4 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆211Oct 15, 2026Updated 2 weeks ago
- ☆10Feb 18, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Jul 1, 2023Updated 3 years ago
- ☆141Jul 9, 2023Updated 3 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated last year
- ☆50Dec 12, 2024Updated last year
- ☆11Mar 24, 2023Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆86Jul 27, 2023Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆851Dec 13, 2021Updated 4 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 6 years ago
- Code for reproducing results in GraphMix paper☆72Nov 22, 2022Updated 3 years ago
- Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"☆13Nov 20, 2022Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Jun 27, 2019Updated 7 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year