awesome-gcn
github.com/jiakui/awesome-gcn ↗resources for graph convolutional networks （图卷积神经网络相关资源）
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GitHub Stars
61
Curated Resources
25
Categories
5 hours ago
Last Refreshed
Implement:Improved GCN:Example & Tutorial:Knowledge Graph:Relation Extraction:Text Classification:Word Embedding:NER:QA:Coreference Resolution:Recommendation:Skeleton-Based Action Recognition:Anomaly Detection:Face Clustering:Person Attribute Recognition:Person Search:Image Segmentation:Image Classification:Scene Graph Generation:Traffic Flow:Disease Prediction:Path Prediction:3D Point Cloud:Graph To Sequence:Chemical Stability Prediction:
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me knowledge graph: resources from awesome-gcn"
Installation instructions →What's inside
Knowledge Graph:
Person Attribute Recognition:
Image Classification:
- avirambh/MSDNet-GCN
Multi-Scale Dense Convolutional Networks for Efficient Prediction,
- chenzhaomin123/ML_GCN
- JudyYe/zero-shot-gcn
- rusty1s/graph-based-image-classification
Relation Extraction:
Scene Graph Generation:
Showing a sample of 61 resources. View the full list on GitHub →