A Variational Mean-Field Control Framework for Graph Representation Learning.

Dan T, Zhou Z, Kim WH, Wu G

DOI: 10.1109/tpami.2026.3696154
Published: 2026 Oct
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3696154,
  title = {A Variational Mean-Field Control Framework for Graph Representation Learning.},
  author = {Dan T and Zhou Z and Kim WH and Wu G},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3696154},
  url = {https://doi.org/10.1109/tpami.2026.3696154}
}

RIS

TY  - JOUR
TI  - A Variational Mean-Field Control Framework for Graph Representation Learning.
AU  - Dan T
AU  - Zhou Z
AU  - Kim WH
AU  - Wu G
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3696154
UR  - https://doi.org/10.1109/tpami.2026.3696154
ER  -

APA

T, D., Z, Z., WH, K., & G, W. (2026). A Variational Mean-Field Control Framework for Graph Representation Learning.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3696154

Source records

pubmed · retrieved 2026-11-10T13:54:01.812Z