Zhimeng Jiang

On Explaining Equivariant Graph Networks via Improved Relevance Propagation

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

On Explaining Equivariant Graph Networks via Improved Relevance Propagation

CODA: Temporal Domain Generalization via Concept Drift Simulator

Gradient Rewiring for Editable Graph Neural Network Training

Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability

Topology Matters in Fair Graph Learning: a Theoretical Pilot Study

Editable Graph Neural Network for Node Classifications

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length