{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:18Z","timestamp":1750219758112,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3616007","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:42Z","timestamp":1697874342000},"page":"5173-5176","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8726-9234","authenticated-orcid":false,"given":"Dongqi","family":"Fu","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR","author":"Chen Chaoqi","year":"2022","unstructured":"Chaoqi Chen , Yushuang Wu , Qiyuan Dai , Hong-Yu Zhou , Mutian Xu , Sibei Yang , Xiaoguang Han , and Yizhou Yu. 2022. A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR , Vol. abs\/ 2209 .13232 ( 2022 ). Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, and Yizhou Yu. 2022. A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR, Vol. abs\/2209.13232 (2022)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557202"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3606274.3606280"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539313"},{"key":"e_1_3_2_1_5_1","volume-title":"SDG: A Simplified and Dynamic Graph Neural Network. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Fu Dongqi","year":"2021","unstructured":"Dongqi Fu and Jingrui He . 2021 . SDG: A Simplified and Dynamic Graph Neural Network. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , Virtual Event, Canada, July 11--15 , 2021. ACM, 2273--2277. https:\/\/doi.org\/10.1145\/3404835.3463059 10.1145\/3404835.3463059 Dongqi Fu and Jingrui He. 2021. SDG: A Simplified and Dynamic Graph Neural Network. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11--15, 2021. ACM, 2273--2277. https:\/\/doi.org\/10.1145\/3404835.3463059"},{"key":"e_1_3_2_1_6_1","volume-title":"DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. In IEEE International Conference on Big Data, Big Data 2022","author":"Fu Dongqi","year":"2022","unstructured":"Dongqi Fu and Jingrui He . 2022 a. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. In IEEE International Conference on Big Data, Big Data 2022 , Osaka, Japan, December 17--20 , 2022. IEEE, 5269--5277. https:\/\/doi.org\/10.1109\/BigData55660.2022.10020904 10.1109\/BigData55660.2022.10020904 Dongqi Fu and Jingrui He. 2022a. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. In IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17--20, 2022. IEEE, 5269--5277. https:\/\/doi.org\/10.1109\/BigData55660.2022.10020904"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2022.1062637"},{"key":"e_1_3_2_1_8_1","volume-title":"Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR","author":"Fu Dongqi","year":"2022","unstructured":"Dongqi Fu , Jingrui He , Hanghang Tong , and Ross Maciejewski . 2022c. Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR , Vol. abs\/ 2207 .00048 ( 2022 ). Dongqi Fu, Jingrui He, Hanghang Tong, and Ross Maciejewski. 2022c. Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR , Vol. abs\/2207.00048 (2022)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412127"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3572726"},{"key":"e_1_3_2_1_11_1","volume-title":"Local Motif Clustering on Time-Evolving Graphs. In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","author":"Fu Dongqi","year":"2020","unstructured":"Dongqi Fu , Dawei Zhou , and Jingrui He . 2020 b. Local Motif Clustering on Time-Evolving Graphs. In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , Virtual Event, CA, USA, August 23--27 , 2020. ACM, 390--400. https:\/\/doi.org\/10.1145\/3394486.3403081 10.1145\/3394486.3403081 Dongqi Fu, Dawei Zhou, and Jingrui He. 2020b. Local Motif Clustering on Time-Evolving Graphs. In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23--27, 2020. ACM, 390--400. https:\/\/doi.org\/10.1145\/3394486.3403081"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583423"},{"key":"e_1_3_2_1_13_1","volume-title":"Taylor-King","author":"Gaudelet Thomas","year":"2021","unstructured":"Thomas Gaudelet , Ben Day , Arian R. Jamasb , Jyothish Soman , Cristian Regep , Gertrude Liu , Jeremy B. R. Hayter , Richard Vickers , Charles Roberts , Jian Tang , David Roblin , Tom L. Blundell , Michael M. Bronstein , and Jake P . Taylor-King . 2021 . Utilizing graph machine learning within drug discovery and development. Briefings Bioinform . , Vol. 22 (2021). Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, and Jake P. Taylor-King. 2021. Utilizing graph machine learning within drug discovery and development. Briefings Bioinform. , Vol. 22 (2021)."},{"key":"e_1_3_2_1_14_1","volume-title":"Deep Residual Learning for Image Recognition. In CVPR","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In CVPR 2016. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR 2016."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583474"},{"key":"e_1_3_2_1_16_1","volume-title":"IJCAI","author":"Wang Shoujin","year":"2021","unstructured":"Shoujin Wang , Liang Hu , Yan Wang , Xiangnan He , Quan Z. Sheng , Mehmet A. Orgun , Longbing Cao , Francesco Ricci , and Philip S. Yu . 2021. Graph Learning based Recommender Systems: A Review . In IJCAI 2021 . Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, and Philip S. Yu. 2021. Graph Learning based Recommender Systems: A Review. In IJCAI 2021."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781638281436"},{"key":"e_1_3_2_1_18_1","volume-title":"WWW","author":"Xu Zhe","year":"2022","unstructured":"Zhe Xu , Boxin Du , and Hanghang Tong . 2022 . Graph Sanitation with Application to Node Classification . In WWW 2022. Zhe Xu, Boxin Du, and Hanghang Tong. 2022. Graph Sanitation with Application to Node Classification. In WWW 2022."},{"key":"e_1_3_2_1_19_1","volume-title":"Deeper-GXX: Deepening Arbitrary GNNs. CoRR","author":"Zheng Lecheng","year":"2022","unstructured":"Lecheng Zheng , Dongqi Fu , Ross Maciejewski , and Jingrui He. 2022. Deeper-GXX: Deepening Arbitrary GNNs. CoRR ( 2022 ). Lecheng Zheng, Dongqi Fu, Ross Maciejewski, and Jingrui He. 2022. Deeper-GXX: Deepening Arbitrary GNNs. CoRR (2022)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557393"}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Birmingham United Kingdom","acronym":"CIKM '23"},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3616007","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3616007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:04Z","timestamp":1750178224000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3616007"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":20,"alternative-id":["10.1145\/3583780.3616007","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3616007","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}