| index | Title |
| 1 | NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Author(s):Jianke HU, Yin ZHANG Clicked:9588 Download:11044 Cited:0 <Full Text> <PPT> 1616 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.3 P.409-421 DOI:10.1631/FITEE.2000657 |
| 2 | Self-supervised graph learning with target-adaptive masking for session-based recommendation Author(s):Yitong WANG, Fei CAI, Zhiqiang PAN... Clicked:6402 Download:11480 Cited:0 <Full Text> <PPT> 1573 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.1 P.73-87 DOI:10.1631/FITEE.2200137 |
| 3 | Towards adaptive graph neural networks via solving prior-data conflicts Author(s):Xugang WU, Huijun WU, Ruibo WANG, ... Clicked:4690 Download:4465 Cited:0 <Full Text> <PPT> 698 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.3 P.369-383 DOI:10.1631/FITEE.2300194 |
| 4 | An intelligent mesh-smoothing method with graph neural networks Author(s):Zhichao WANG, Xinhai CHEN, Junjun ... Clicked:3355 Download:7186 Cited:0 <Full Text> <PPT> 1372 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.3 P.367-384 DOI:10.1631/FITEE.2300878 |
| 5 | FedSTGCN: a novel federated spatiotemporal graph learning-based network intrusion detection method for the ... Author(s):Yalu WANG, Jie LI, Zhijie HAN, Pu ... Clicked:2999 Download:4807 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.7 P.1164-1179 DOI:10.1631/FITEE.2400932 |