{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T14:57:24Z","timestamp":1784041044711,"version":"3.55.0"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tmc.2025.3568248","type":"journal-article","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T13:47:15Z","timestamp":1747403235000},"page":"10264-10277","source":"Crossref","is-referenced-by-count":19,"title":["GDSG: Graph Diffusion-Based Solution Generator for Optimization Problems in MEC Networks"],"prefix":"10.1109","volume":"24","author":[{"given":"Ruihuai","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6275-8904","authenticated-orcid":false,"given":"Bo","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengyu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6221-0754","authenticated-orcid":false,"given":"Xuelin","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9905-3238","authenticated-orcid":false,"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8941-8080","authenticated-orcid":false,"given":"M\u00e9rouane","family":"Debbah","sequence":"additional","affiliation":[{"name":"Center for 6G Technology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2062-131X","authenticated-orcid":false,"given":"H. Vincent","family":"Poor","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9307-2120","authenticated-orcid":false,"given":"Chau","family":"Yuen","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2682318"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10229096"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796696"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088669"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3016694"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/pbte106e"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3529904"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213344"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3156530"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3178445"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088634"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000813"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3298984"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3260805"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3486555"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3315275"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488886"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000292"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228875"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000405"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3075444"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2954503"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437346"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3313192"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3227032"},{"key":"ref28","article-title":"STaR: Self-taught reasoner bootstrapping reasoning with reasoning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zelikman"},{"key":"ref29","first-page":"33940","article-title":"LLM and simulation as bilevel optimizers: A new paradigm to advance physical scientific discovery","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ma"},{"key":"ref30","article-title":"Dream the impossible: Outlier imagination with diffusion models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Du"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref32","article-title":"Gurobi optimizer reference manual","year":"2024"},{"key":"ref34","article-title":"IBM ILOG CPLEX optimization studio","year":"2024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/pr6080106"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3361474"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3091551"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.2990630"},{"key":"ref39","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref40","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022"},{"key":"ref41","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Dhariwal"},{"key":"ref42","first-page":"17981","article-title":"Structured denoising diffusion models in discrete state-spaces","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Austin"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6624-6_97-1"},{"key":"ref44","first-page":"50020","article-title":"T2T: From distribution learning in training to gradient search in testing for combinatorial optimization","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3400011"},{"key":"ref46","article-title":"DiffSG: A generative solver for network optimization with diffusion model","author":"Liang","year":"2024"},{"key":"ref47","article-title":"Generative AI based secure wireless sensing for ISAC networks","author":"Wang","year":"2024"},{"key":"ref48","article-title":"Generative AI for deep reinforcement learning: Framework, analysis, and use cases","author":"Sun","year":"2024"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3356178"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.009.2300165"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2024.3521024"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3195876"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3430509"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.051111.00121"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2010.032210.00071"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2316834"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/BF01130406"},{"key":"ref58","first-page":"25531","article-title":"DIMES: A differentiable meta solver for combinatorial optimization problems","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Qiu"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.1984.10483182"},{"key":"ref60","first-page":"65484","article-title":"Understanding diffusion objectives as the ELBO with simple data augmentation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Kingma"},{"key":"ref61","first-page":"21696","article-title":"Variational diffusion models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Kingma"},{"key":"ref62","first-page":"12454","article-title":"Argmax flows and multinomial diffusion: Learning categorical distributions","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Hoogeboom"},{"key":"ref63","article-title":"Analog bits: Generating discrete data using diffusion models with self-conditioning","author":"Chen","year":"2022"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s10601-022-09327-y"},{"issue":"43","key":"ref65","first-page":"1","article-title":"Benchmarking graph neural networks","volume":"24","author":"Dwivedi","year":"2023","journal-title":"J. Mach. Learn. Res."},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3214832"},{"key":"ref67","article-title":"Towards impartial multi-task learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu"},{"key":"ref68","first-page":"5824","article-title":"Gradient surgery for multi-task learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Yu"},{"key":"ref69","first-page":"2039","article-title":"Just pick a sign: Optimizing deep multitask models with gradient sign dropout","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref70","first-page":"27199","article-title":"Addressing negative transfer in diffusion models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Go"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02641"},{"key":"ref72","first-page":"64896","article-title":"Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"He"},{"key":"ref73","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7755\/11154819\/11006143-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11154819\/11006143.pdf?arnumber=11006143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T19:53:31Z","timestamp":1757534011000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11006143\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":72,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3568248","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}