DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.

Zheng Ju|Honghui Du|Elias Z. Tragos|Neil Hurley|Aonghus Lawlor


Anthology ID:DBLP:conf/ecir/JuDTHL25
Volume:Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III
Year:2025
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:246-254
URL:https://doi.org/10.1007/978-3-031-88714-7_23
DOI:https://doi.org/10.1007/978-3-031-88714-7_23
DBLP:conf/ecir/JuDTHL25
BibTeX:
@inproceedings{ju-2025-diffgr, author = {Zheng Ju and Honghui Du and Elias Z. Tragos and Neil Hurley and Aonghus Lawlor}, editor = {Claudia Hauff and Craig Macdonald and Dietmar Jannach and Gabriella Kazai and Franco Maria Nardini and Fabio Pinelli and Fabrizio Silvestri and Nicola Tonellotto}, title = {{DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs}}, booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III}}, series = {Lecture Notes in Computer Science}, volume = {15574}, pages = {246--254}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-88714-7_23}, doi = {https://doi.org/10.1007/978-3-031-88714-7_23} }