Search Results for author:
Found 6 papers, 3 papers with code
LogicPrpBank: A Corpus for Logical Implication and Equivalence
Logic reasoning has been critically needed in problem-solving and decision-making.
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
Although graph mining research via heterogeneous graph neural networks has taken center stage, it remains unclear whether these approaches capture the heterogeneity of the PubMed database, a vast digital repository containing over 33 million articles.
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Due to patient privacy protection concerns, machine learning research in healthcare has been undeniably slower and limited than in other application domains.
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
Nonlinear acceleration methods are powerful techniques to speed up fixed-point iterations.
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
By supervising the tensor factorization with downstream prediction tasks and leveraging information from multiple related predictive tasks, MULTIPAR can yield not only more meaningful phenotypes but also better predictive performance for downstream tasks.
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration
We also empirically show that GDA-AMsolves a variety of minimax problems and improves GAN training on several datasets
