KPRN
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Reasoning Over Knowledge Graph Paths for Recommendation
Sorry, I cannot find where introduce to the KGs. Do the authors use the public KGs? What does the KG in Table 1 means?
Can I get TEM code ?
I don't know how to generate all the dictions. For example, 'song_person.dict', what should i put in this file? I've read 'read me.pdf', but i can't find the answer. Thanks...
I'm confused by the function "get_relation" defined in "add_relation_label.py". It appears that the authors assume that the song is represented by "s", the user is represented by "u", the artist...
I can't even get prepare data,like music : - song_person.dict: key: song id,value: a list of all the related song person id - person_song.dict: reverse of the song_person.dict - song_type.dict:...
I couldn't find the script files. A path_config.sh: config file run_path_find.sh: run run_path.sh C data.sh movie_run_exp.py run_test.sh D python ItemPop.py train_nfm.sh
Hi, I have one question regarding the path extraction. Do you use all the paths within length 6 between an user-item pair or random sample some of them. Because there...
Hi, Sorry to disturb, I would like to know which method you used to embed the entities and relations in a certain path.Thanks.