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Qingtian Bian

2 accepted papers

2025

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

ICLR 2025poster

In neuroscience, identifying distinct patterns linked to neurological disorders, such as Alzheimer's and Autism, is critical for early diagnosis and effective intervention. Graph Neural Networks (GNNs) have shown promising in analyzing brain networks, but there are two major challenges in using GNNs…

2024

Union Subgraph Neural Networks

AAAI 2024technical

Graph Neural Networks (GNNs) are widely used for graph representation learning in many application domains. The expressiveness of vanilla GNNs is upper-bounded by 1-dimensional Weisfeiler-Leman (1-WL) test as they operate on rooted subtrees through iterative message passing. In this paper, we empowe…