A collection of resources on attention-based graph neural networks
☆87Dec 24, 2023Updated 2 years ago
Alternatives and similar repositories for awesome-attention-based-gnns
Users that are interested in awesome-attention-based-gnns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs☆16Oct 13, 2023Updated 2 years ago
- ☆19Mar 27, 2023Updated 3 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Jan 14, 2025Updated last year
- The multiplex network of human diseases☆15Jul 3, 2025Updated 9 months ago
- ☆104Oct 19, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A curated list of graph learning papers, articles, tutorials, slides and projects☆31Sep 29, 2020Updated 5 years ago
- Knowledge Base Graph Attention Networks☆14Feb 22, 2020Updated 6 years ago
- ☆20Dec 19, 2024Updated last year
- ☆15Oct 25, 2022Updated 3 years ago
- [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yue…☆17Mar 21, 2025Updated last year
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆255Aug 25, 2020Updated 5 years ago
- ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation☆10Apr 18, 2019Updated 6 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Apr 5, 2022Updated 4 years ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆21Nov 25, 2023Updated 2 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.
- The implementation for DropMessage.☆23Mar 9, 2023Updated 3 years ago
- ANOMULY is a general, unsupervised edge anomaly detection framework for multiplex dynamic networks.☆11May 19, 2023Updated 2 years ago
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆26Jun 16, 2025Updated 9 months ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆41May 7, 2025Updated 11 months ago
- ☆12Sep 7, 2025Updated 7 months ago
- Implementation of the Influence Maximization Benchmarker (IMB)☆14Aug 10, 2023Updated 2 years ago
- ☆14Oct 17, 2023Updated 2 years ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆109Jul 9, 2025Updated 9 months ago
- Official Repository of "GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration".☆44Mar 28, 2025Updated last year
- 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.
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Sep 15, 2023Updated 2 years ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆195Nov 29, 2024Updated last year
- Approximate Graph Propagation☆11Oct 30, 2021Updated 4 years ago
- code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023☆11Jul 3, 2023Updated 2 years ago
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆48Mar 19, 2025Updated last year
- ☆13May 18, 2020Updated 5 years ago
- Influence Maximization in Hypergraphs based on Evolutionary Deep Reinforcement Learning☆10Jan 27, 2024Updated 2 years ago
- A simple implementation of the paper "Disease Prediction via Graph Neural Networks".☆22Feb 3, 2021Updated 5 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 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.
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆16Mar 20, 2024Updated 2 years ago
- A PyTorch-based suite of deep unsupervised clustering algorithms☆13Jun 29, 2024Updated last year
- A text-to-network representation and semantic parsing toolkit.☆11Nov 11, 2019Updated 6 years ago
- A curated list of papers on graph structure learning (GSL).☆51Dec 31, 2024Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44May 24, 2023Updated 2 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Jan 4, 2022Updated 4 years ago
- 🗝 中华古诗数据库接口( Mongodb + Node.js + Redis + Nginx),接近 5.5 万首唐诗加 26 万宋诗,以及万余唐宋诗人。☆14Nov 26, 2018Updated 7 years ago