{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gidn-a-lightweight-graph-inception-diffusion","title":"GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction","arxiv_id":"2210.01301","date":"2022-10-04","proceeding":null,"authors":["Zixiao Wang","Yuluo Guo","Jin Zhao","Yu Zhang","Hui Yu","Xiaofei Liao","Biao Wang","Ting Yu"],"abstract":"In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avoid the large amount of computations caused by complex network structures. We evaluate GIDN model on Open Graph Benchmark(OGB) datasets, reached an 11% higher performance than AGDN on ogbl-collab dataset.","url_abs":"https://arxiv.org/abs/2210.01301v3","url_pdf":"https://arxiv.org/pdf/2210.01301v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"link-prediction","task_name":"Link Prediction"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"diffusion","method_name":"Diffusion"},{"method_slug":"inception-module","method_name":"Inception Module"},{"method_slug":"max-pooling","method_name":"Max Pooling"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/link-property-prediction-on-ogbl-collab","task":"Link Property Prediction","dataset":"ogbl-collab","model":"GIDN@YITU","rank_in_archive_order":3,"of":34,"metrics":{"Ext. data":"No","Number of params":"60449025","Test Hits@50":"0.7096 ± 0.0055","Validation Hits@50":"0.9620 ± 0.0040"},"uses_additional_data":false},{"leaderboard":"/sota/link-property-prediction-on-ogbl-ddi","task":"Link Property Prediction","dataset":"ogbl-ddi","model":"GIDN@YITU","rank_in_archive_order":4,"of":31,"metrics":{"Ext. data":"No","Number of params":"3506691","Test Hits@20":"0.9542 ± 0.0000","Validation Hits@20":"0.8258 ± 0.0000"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}