%0 Journal Article %1 journals/npl/LiLLWL23 %A Li, Yuqiang %A Liao, Jing %A Liu, Chun %A Wang, YingJie %A Li, Lin %D 2023 %J Neural Process. Lett. %K dblp %N 5 %P 5473-5498 %T Node Similarity Preserving Graph Convolutional Network Based on Full-frequency Information for Node Classification. %U http://dblp.uni-trier.de/db/journals/npl/npl55.html#LiLLWL23 %V 55

@article{journals/npl/LiLLWL23, added-at = {2023-10-19T00:00:00.000+0200}, author = {Li, Yuqiang and Liao, Jing and Liu, Chun and Wang, YingJie and Li, Lin}, biburl = {https://www.bibsonomy.org/bibtex/21b897a02ef07f2f0544906c1c31551c0/dblp}, ee = {https://doi.org/10.1007/s11063-022-11094-z}, interhash = {4401c35c5e9c547e010a0e58cb0a0eed}, intrahash = {1b897a02ef07f2f0544906c1c31551c0}, journal = {Neural Process. Lett.}, keywords = {dblp}, month = {October}, number = 5, pages = {5473-5498}, timestamp = {2024-04-08T14:50:50.000+0200}, title = {Node Similarity Preserving Graph Convolutional Network Based on Full-frequency Information for Node Classification.}, url = {http://dblp.uni-trier.de/db/journals/npl/npl55.html#LiLLWL23}, volume = 55, year = 2023 }