input_data.md

Input fiels:

1. a_p_list_train.txt: author:paper1,paper2,..., author and papers written by this author
2. p_a_list_train.txt: original_paper:author1,author2,author3,..., paper and its authors
3. p_p_citation_list.txt: original_paper:paper1,paper2,..., paper and its citation papers
4. v_p_list_train.txt: venue:paper1,paper2,..., venue and papers published on this venue
5. p_v.txt: original_paper,venue paper and its venue
6. deepwalk_apv.emb: each line is an embedding of a node, trained by DeepWalk
7. het_neigh_train.txt and het_random_walk.txt: sample neighbors through random walk

Input files for paper prediction:

Here we only include the files related to the paper prediction, followed by the author prediction

1. node_embedding.txt: each line is an embedding of a node
2. p2_cited_citing_lst.txt: original_paper:citing_paper1,citing_paper2,... (including 2 years of citing papers)
3. p20_cited_citing_lst.txt: original_paper:num_citations (including 20 years of citations)

Input files for author prediction:

1. node_embedding.txt: each line is an embedding of a node
2. a2_cited_citing_lst.txt: original_author:citing_paper1,citing_paper2,... (including 2 years of citing papers)
3. a20_cited_citing_lst.txt: original_author:num_citations (including 20 years of citations)
4. paper_addition.pkl: original_author:[(publication,[citation1,citation2...])], paper and its publication and citation