%0 Generic %1 xu2022timeawaregraphneuralnetworks %A Xu, Chengjin %A Su, Fenglong %A Lehmann, Jens %D 2022 %K Alignment Entity Graph Graphs Knowledge Networks Neural Temporal Time-aware Yaff %R https://doi.org/10.18653/v1/2021.emnlp-main.709 %T Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs %U https://arxiv.org/abs/2203.02150

@misc{xu2022timeawaregraphneuralnetworks, added-at = {2025-01-07T13:21:13.000+0100}, archiveprefix = {arXiv}, author = {Xu, Chengjin and Su, Fenglong and Lehmann, Jens}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2722a2ba283f7f9bc269c96bd52983441/scadsfct}, doi = {https://doi.org/10.18653/v1/2021.emnlp-main.709}, eprint = {2203.02150}, interhash = {4f36012beaefddbe07e4d3425f8073d6}, intrahash = {722a2ba283f7f9bc269c96bd52983441}, keywords = {Alignment Entity Graph Graphs Knowledge Networks Neural Temporal Time-aware Yaff}, primaryclass = {cs.AI}, timestamp = {2025-02-04T10:47:57.000+0100}, title = {Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs}, url = {https://arxiv.org/abs/2203.02150}, year = 2022 }