Attention-based graph neural networks: a survey
☆89Dec 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:
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆18Sep 8, 2023Updated 2 years ago
- ☆19Mar 27, 2023Updated 3 years ago
- The multiplex network of human diseases☆15Jul 3, 2025Updated 11 months ago
- ☆106Oct 19, 2023Updated 2 years ago
- A curated list of graph learning papers, articles, tutorials, slides and projects☆31Sep 29, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Knowledge Base Graph Attention Networks☆14Feb 22, 2020Updated 6 years ago
- Papers about graph transformers.☆930Mar 19, 2025Updated last year
- Relational Graph Transformer☆74Jul 10, 2025Updated 11 months ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆257Aug 25, 2020Updated 5 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
- The implementation for DropMessage.☆23Mar 9, 2023Updated 3 years ago
- ☆11Jan 8, 2024Updated 2 years ago
- [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yue…☆18Mar 21, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- We propose Deep Kronecker Neural Network, which is a general framework for neural networks with adaptive activation functions. In particu…☆14Feb 1, 2023Updated 3 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆41May 7, 2025Updated last year
- This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a se…☆45May 26, 2025Updated last year
- ☆11Sep 7, 2025Updated 9 months ago
- Implementation of the Influence Maximization Benchmarker (IMB)☆14Aug 10, 2023Updated 2 years ago
- Official Repository of "GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration".☆45Mar 28, 2025Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆110Jul 9, 2025Updated 11 months ago
- ☆15Oct 17, 2023Updated 2 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆23Sep 15, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆196Nov 29, 2024Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆49Apr 8, 2024Updated 2 years ago
- code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023☆11Jul 3, 2023Updated 2 years ago
- Approximate Graph Propagation☆11Oct 30, 2021Updated 4 years ago
- Awesome Entity Alignment is a collection of EA techniques, including papers, codes, and datasets.☆11Oct 27, 2022Updated 3 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
- AI DEV WEEK Project Case 1°☆16Jan 3, 2025Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- Influence Maximization in Hypergraphs based on Evolutionary Deep Reinforcement Learning☆10Jan 27, 2024Updated 2 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.
- 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
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆17Mar 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).☆52Dec 31, 2024Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44May 24, 2023Updated 3 years ago