Jiakui/awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
Curated collection of GCN and Graph Attention Network implementations across TensorFlow, Keras, and PyTorch frameworks, spanning applications from text classification and relation extraction to skeleton-based action recognition and anomaly detection. Covers architectural variants including relational GCNs for knowledge graphs, attention-based mechanisms (GAT, KGAT), and spatial-temporal extensions. Organized by application domain with links to reference implementations and research papers, enabling rapid prototyping across NLP, computer vision, and recommendation systems.
911 stars. No commits in the last 6 months.
Stars
911
Forks
135
Language
—
License
—
Category
Last pushed
Jul 12, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Jiakui/awesome-gcn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IndexFziQ/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
kyzhouhzau/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and...
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch...
kenqgu/Text-GCN
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)