HetTree: Heterogeneous Tree Graph Neural Network

no code implementations • 21 Feb 2024 • Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim

In this paper, we present HetTree, a novel heterogeneous tree graph neural network that models both the graph structure and heterogeneous aspects in a scalable and effective manner.

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

1 code implementation • 15 Feb 2022 • Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong

How can we perform knowledge reasoning over temporal knowledge graphs (TKGs)?

Density Estimation Knowledge Graphs +1

Theoretical and Empirical Study of Adversarial Examples

no code implementations • 27 Sep 2018 • Fuchen Liu, Hongwei Shang, Hong Zhang

We show that under some symmetrical assumptions, label smoothing, logit squeezing, weight decay, mix up and feature smoothing all produce an unbiased estimation of the decision boundary with smaller estimated variance.

Data Augmentation