Papers with structure-augmented modeling
Bridging Local Details and Global Context in Text-Attributed Graphs (2024.emnlp-main)
Copied to clipboard
| Challenge: | Existing studies focus on combining different information levels but overlook interconnections, i.e., contextual textual information among nodes. |
| Approach: | They propose a framework that bridges local and global perspectives by leveraging contextual textual information. |
| Outcome: | The proposed framework achieves state-of-the-art performance while reducing tokens significantly. |