Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
☆82Apr 29, 2021Updated 4 years ago
Alternatives and similar repositories for PTDNet
Users that are interested in PTDNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆306May 12, 2023Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆239Jul 23, 2023Updated 2 years ago
- Graph revised convolutional network (ECML-PKDD 2020)☆16Oct 14, 2020Updated 5 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Mar 6, 2024Updated 2 years ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Jul 18, 2023Updated 2 years ago
- ☆19Apr 29, 2023Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- ☆14Mar 25, 2023Updated 3 years ago
- Implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020) in PyTorch☆13Oct 11, 2022Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆145Feb 23, 2024Updated 2 years ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Feb 14, 2022Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38May 6, 2022Updated 3 years ago
- ☆10Jul 23, 2020Updated 5 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Aug 13, 2020Updated 5 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Jul 1, 2022Updated 3 years ago
- ☆10Dec 26, 2023Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- ☆31Oct 10, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- ☆16Dec 8, 2021Updated 4 years ago
- 本人为同济大学21级数据科学与大数据技术专业本科生,于2023年春季前往台湾大学电机资讯学院资讯工程学系交换一个学期,以下是我学习os专业课的作业。☆11Jun 15, 2023Updated 2 years ago
- ☆45Apr 14, 2021Updated 4 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Mar 17, 2024Updated 2 years ago
- ☆58Mar 22, 2022Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Feb 27, 2021Updated 5 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.
- ☆55Jun 14, 2022Updated 3 years ago
- ☆30Jun 4, 2021Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Jul 5, 2022Updated 3 years ago
- ☆14Nov 26, 2022Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆114Jul 15, 2021Updated 4 years ago
- GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)☆85Oct 25, 2023Updated 2 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆27Nov 21, 2022Updated 3 years ago