Search Results for author:
Found 3 papers, 2 papers with code
Causality and Independence Enhancement for Biased Node Classification
Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data biases, such as label selection bias or structural bias.
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Overall, OpenGDA provides a user-friendly, scalable and reproducible benchmark for evaluating graph domain adaptation models.
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage
However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
