Path-based Evidence Graph Exploration & Neighbor-based Evidence Graph Exploration

[jw9603]

Hello.

As the title suggests, could you please let me know the location of the code for path-based subgraph generation method and neighbor-based subgraph generation method?

Thank You!!

[wyl-willing]

Sure, you can find the code starting at line 505 and line 611 in MindMap.py.
After that, you can get path-based and neighbor-based chains, and then you can call GPT API to transfer the chains into natural language.
If you still have any questions, please let me know.

[jw9603]

I have one more question: When comparing the embeddings of Mset and KG entities when linking entities, how did you obtain the embedding values about Mset and KG entities?

[wyl-willing]

First, you should obtain the embedding files by pre-training. For example, you can see encode_keyword_entity.py and word2vec.py in 'pre-training/chatdoctor5k'. Then use it in the MindMap.py. The details are shown in the line 481-583. [image: image.png] If you still have any questions, please let me know. Jiwon Jeong ***@***.***> 于2024年3月13日周三 21:49写道：

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I have one more question: When comparing the embeddings of Mset and KG entities when linking entities, how did you obtain the embedding values about Mset and KG entities? — Reply to this email directly, view it on GitHub <#5 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/APCDU6ZPVFF3OSDYID4JYBDYYBKPHAVCNFSM6AAAAABDYPAZSWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSOJUGQ2TCNRRGM> . You are receiving this because you commented.Message ID: ***@***.***>