Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
☆199Mar 6, 2024Updated 2 years ago
Alternatives and similar repositories for LDS-GNN
Users that are interested in LDS-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:
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆238Jul 23, 2023Updated 2 years ago
- Graph revised convolutional network (ECML-PKDD 2020)☆16Oct 14, 2020Updated 5 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆289Oct 25, 2020Updated 5 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆304May 12, 2023Updated 2 years ago
- ☆303Jul 17, 2022Updated 3 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.
- Graph Markov Neural Networks☆412Jul 8, 2020Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆323Dec 9, 2024Updated last year
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆90Oct 25, 2021Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Apr 29, 2021Updated 4 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Jul 25, 2024Updated last year
- Code for reproducing results in GraphMix paper☆72Nov 22, 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.
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Jun 27, 2019Updated 6 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆180Nov 30, 2021Updated 4 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆113Mar 24, 2023Updated 3 years ago
- Position-aware Graph Neural Networks☆402Oct 12, 2020Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Apr 25, 2024Updated last year
- Graph Filter Neural Network (ICPR'20)☆48Aug 6, 2020Updated 5 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆213Aug 16, 2020Updated 5 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70May 5, 2019Updated 6 years ago
- GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks☆13Aug 13, 2021Updated 4 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,651Jun 22, 2023Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Mar 17, 2024Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Jul 15, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Sep 12, 2019Updated 6 years ago
- ☆30Oct 10, 2021Updated 4 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Jul 22, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,076May 6, 2025Updated 10 months ago
- A curated list of awesome graph structure learning approaches☆39Nov 24, 2024Updated last year
- Hierarchical Graph Pooling with Structure Learning☆344Jul 12, 2021Updated 4 years ago