Scalable Graph Neural Networks with Deep Graph Library
☆151Dec 3, 2020Updated 5 years ago
Alternatives and similar repositories for KDD20-Hands-on-Tutorial
Users that are interested in KDD20-Hands-on-Tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Materials for DGL hands-on tutorial in WWW 2020☆501Jun 21, 2021Updated 4 years ago
- ☆31Jan 14, 2021Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 2023Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆22Mar 8, 2021Updated 5 years ago
- A Collection of Public Recommender System Dataset☆11Feb 10, 2021Updated 5 years ago
- 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.
- ☆13Jun 18, 2021Updated 4 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 3 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆374Jul 13, 2023Updated 2 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆44Apr 14, 2021Updated 5 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,265Jul 31, 2025Updated 8 months ago
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆54Nov 13, 2020Updated 5 years ago
- http://nlp.seas.harvard.edu/2018/04/03/attention.html☆63May 20, 2021Updated 4 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,328Aug 8, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,081May 6, 2025Updated 11 months ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 2 years ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆39Feb 4, 2023Updated 3 years ago
- Relational representation of context-dependent roles on information science papers☆16Jan 4, 2018Updated 8 years ago
- Sample use of Amazon Personalize for a recommender system for car searches☆14Jul 17, 2019Updated 6 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Aug 19, 2022Updated 3 years ago
- ☆13Jan 23, 2021Updated 5 years ago
- ☆218Oct 15, 2022Updated 3 years ago
- ☆31Feb 25, 2022Updated 4 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.
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,885Nov 10, 2023Updated 2 years ago
- python project template for personal projects! 🙋♀️☆11Nov 28, 2020Updated 5 years ago
- links to conference publications in graph-based deep learning☆5,046Feb 7, 2026Updated 2 months ago
- Must-read papers on graph neural networks (GNN)☆16,740Dec 20, 2023Updated 2 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Apr 10, 2018Updated 8 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Jan 27, 2023Updated 3 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆35Jan 10, 2026Updated 3 months 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.
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,229Mar 28, 2025Updated last year
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Nov 1, 2019Updated 6 years ago
- A simple Graph Net in PyTorch☆24May 23, 2020Updated 5 years ago
- Final project for CS224W☆13Nov 7, 2022Updated 3 years ago
- A PyTorch Graph Neural Network Library☆375Sep 4, 2025Updated 7 months ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆113Mar 24, 2023Updated 3 years ago
- An implementation of the Equivariant Graph Neural Network (EGNN) layer type for DGL-PyTorch.☆15Dec 27, 2022Updated 3 years ago