Qingyun Sun

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

Adam Can Mitigate Class Imbalance Without Element-Wise Gradient Normalization

Understanding Input Transformation-Based Attacks via Target Function Space Expansion

Robust Graph Condensation via Classification Complexity Mitigation

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

Activating More Advantageous Neurons Can Improve Adversarial Transferability