Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
Signed Graph Neural Networks (SGNNs) have recently gained attention as an effective tool
for several learning tasks on signed networks, ie, graphs where edges have an associated …
for several learning tasks on signed networks, ie, graphs where edges have an associated …
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot Prompt Tuning Approach
Z Zhai, S Qing, X Wang, W Zhang - arXiv preprint arXiv:2412.12155, 2024 - arxiv.org
Signed Graph Neural Networks (SGNNs) are powerful tools for signed graph representation
learning but struggle with limited generalization and heavy dependence on labeled data …
learning but struggle with limited generalization and heavy dependence on labeled data …