zjunlp/ContinueMKGC
[IJCAI 2024] Continual Multimodal Knowledge Graph Construction
This project helps researchers and data scientists working with real-world, continuously evolving data streams to build and update knowledge graphs. It takes in multimodal data (text and images) and incrementally identifies named entities and their relationships, allowing the knowledge graph to grow and adapt to new information over time. This is ideal for those managing dynamic datasets in fields like social media analysis or trend monitoring.
No commits in the last 6 months.
Use this if you need to extract and connect named entities and their relationships from both text and images, and your data arrives in sequential batches that require the knowledge graph to be updated without retraining from scratch.
Not ideal if your data is static and does not require incremental updates, or if you are only working with text-based information.
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Python
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Last pushed
May 26, 2025
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