Open CraraW opened 3 years ago
Hi, I’m very interested in this research,can i have open sourcing code to understand better.My email is 18779302247@163.com.I’m looking forward to your reply!Thank you.
Hi, I’m very interested in your research and thanks for open sourcing your code. But,I have some questions after runing your code . I found when adding a triple in T+1 , if the entities/relations contained in the adding triples are exist in time T it can not be detected. Here is a example. Like the graph in your paper is updated at T+1, adding (e7, r7, e6) and (e6, r5, e3). I use the graph in your paper as my data. After running the code ,I found it can only get emerging enity/relation e7,r7; and existing entity/realtion with changed context: e6; triples for Re-training : (e7, r7, e6), (e6, r5, e3),(e1, r6, e6). It can’t detect r5,e3 with changing context. And the triples for Re-training is missing(e3, r1, e4), (e3, r4, e2), (e1, r5, e3). I’m new for this filed. Not sure if I am understanding this right. I’m wondering how to deal with this kind of problem.I’m looking forward to your reply!Thank you. Hi, I’m very interested in this research,do you have open sourcing code,can i have open sourcing code to understand better.My email is 18779302247@163.com.I’m looking forward to your reply!Thank you.
Hello, I am also very interested in this research. Can I have open source code to better understand it? My email is 2239992834@qq.com .I am looking forward to your reply. Have a good day!
Hi, I’m very interested in your research and thanks for open sourcing your code. But,I have some questions after runing your code . I found when adding a triple in T+1 , if the entities/relations contained in the adding triples are exist in time T it can not be detected. Here is a example. Like the graph in your paper is updated at T+1, adding (e7, r7, e6) and (e6, r5, e3). I use the graph in your paper as my data. After running the code ,I found it can only get emerging enity/relation e7,r7; and existing entity/realtion with changed context: e6; triples for Re-training : (e7, r7, e6), (e6, r5, e3),(e1, r6, e6). It can’t detect r5,e3 with changing context. And the triples for Re-training is missing(e3, r1, e4), (e3, r4, e2), (e1, r5, e3). I’m new for this filed. Not sure if I am understanding this right. I’m wondering how to deal with this kind of problem.I’m looking forward to your reply!Thank you.
Hello, I am also very interested in this research. Can I have open source code to better understand it? My email is 2239992834@qq.com .I am looking forward to your reply. Have a good day!
Hi, I’m very interested in your research and thanks for open sourcing your code. But,I have some questions after runing your code . I found when adding a triple in T+1 , if the entities/relations contained in the adding triples are exist in time T it can not be detected. Here is a example. Like the graph in your paper is updated at T+1, adding (e7, r7, e6) and (e6, r5, e3). I use the graph in your paper as my data. After running the code ,I found it can only get emerging enity/relation e7,r7; and existing entity/realtion with changed context: e6; triples for Re-training : (e7, r7, e6), (e6, r5, e3),(e1, r6, e6). It can’t detect r5,e3 with changing context. And the triples for Re-training is missing(e3, r1, e4), (e3, r4, e2), (e1, r5, e3). I’m new for this filed. Not sure if I am understanding this right. I’m wondering how to deal with this kind of problem.I’m looking forward to your reply!Thank you.