Haihong Zhao — accepted AI-conference papers

2024

ProG: A Graph Prompt Learning Benchmark

Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li

NeurIPS 2024poster

Artificial general intelligence on graphs has shown significant advancements across various applications, yet the traditional `Pre-train \& Fine-tune' paradigm faces inefficiencies and negative transfer issues, particularly in complex and few-shot settings. Graph prompt learning emerges as a promisi…

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2024

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung +2

ICLR 2024spotlight

Graph Neural Networks (GNNs) with equivariant properties have emerged as powerful tools for modeling complex dynamics of multi-object physical systems. However, their generalization ability is limited by the inadequate consideration of physical inductive biases: (1) Existing studies overlook the con…

Cited by 22 Source ↗PDF ↗Scholar ↗