{"id":"https://openalex.org/W2985036455","doi":"https://doi.org/10.1145/3357384.3358093","title":"Neighborhood Interaction Attention Network for Link Prediction","display_name":"Neighborhood Interaction Attention Network for Link Prediction","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2985036455","doi":"https://doi.org/10.1145/3357384.3358093","mag":"2985036455"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3358093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100682838","display_name":"Zhitao Wang","orcid":"https://orcid.org/0000-0002-8552-3657"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhitao Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736933","display_name":"Yu Lei","orcid":"https://orcid.org/0000-0001-8482-3140"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Lei","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408983","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0002-7360-8864"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100682838"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.4201,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71828957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757351279258728},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7379165291786194},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6879031658172607},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6375690698623657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49587640166282654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4643438458442688},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43610697984695435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3363455533981323},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06615066528320312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06002935767173767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757351279258728},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7379165291786194},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6879031658172607},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6375690698623657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49587640166282654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4643438458442688},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43610697984695435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3363455533981323},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06615066528320312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06002935767173767},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357384.3358093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W1888005072","https://openalex.org/W2117831564","https://openalex.org/W2203743329","https://openalex.org/W2554952599","https://openalex.org/W2739865319","https://openalex.org/W2742503211","https://openalex.org/W2766453196","https://openalex.org/W2962756421","https://openalex.org/W2964121744","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Interactions":[0],"between":[1],"neighborhoods":[2],"of":[3,55,69,94,99],"two":[4,56],"target":[5,72],"nodes":[6,70],"are":[7],"often":[8],"regarded":[9],"as":[10],"important":[11],"clues":[12],"for":[13],"link":[14,23],"prediction.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"propose":[20],"a":[21,80],"novel":[22],"prediction":[24],"neural":[25],"model":[26,52],"named":[27],"Neighborhood":[28],"Interaction":[29],"Attention":[30],"Network":[31],"(NIAN),":[32],"which":[33],"is":[34,62,83,101],"able":[35],"to":[36,64,85],"automatically":[37],"learn":[38,86],"comprehensive":[39],"neighborhood":[40,87],"interaction":[41,88],"features":[42,68,89],"and":[43,113],"predict":[44],"links":[45],"in":[46,71],"an":[47],"end-to-end":[48],"way.":[49],"The":[50,97],"proposed":[51,84],"mainly":[53],"consists":[54],"attention":[57,61,82],"layers.":[58],"A":[59],"node-level":[60],"designed":[63],"extract":[65],"latent":[66,77],"structure":[67],"neighborhoods.":[73],"Based":[74],"on":[75,106],"the":[76],"node":[78],"features,":[79],"neighborhood-level":[81],"by":[90,103],"considering":[91],"different":[92],"importance":[93],"pair-wise":[95],"interactions.":[96],"superiority":[98],"NIAN":[100],"demonstrated":[102],"extensive":[104],"experiments":[105],"6":[107],"benchmark":[108],"datasets":[109],"against":[110],"12":[111],"popular":[112],"state-of-the-art":[114],"approaches.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}