Toward Deconfounded Temporal Knowledge Graph Extrapolation via Dual Counterfactual Causal Reasoning.
- DOI
- 10.1109/tnnls.2026.3736838
- Published
- 2026 Oct 26
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3736838,
title = {Toward Deconfounded Temporal Knowledge Graph Extrapolation via Dual Counterfactual Causal Reasoning.},
author = {Yang Y and Zheng C and Pan L},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3736838},
url = {https://doi.org/10.1109/tnnls.2026.3736838}
}RIS
TY - JOUR TI - Toward Deconfounded Temporal Knowledge Graph Extrapolation via Dual Counterfactual Causal Reasoning. AU - Yang Y AU - Zheng C AU - Pan L PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3736838 UR - https://doi.org/10.1109/tnnls.2026.3736838 ER -
APA
Y, Y., C, Z., & L, P. (2026). Toward Deconfounded Temporal Knowledge Graph Extrapolation via Dual Counterfactual Causal Reasoning.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3736838
Source records
- pubmed · retrieved 2026-11-10T11:45:08.917Z