554 citations · 769 across the 12 of their papers we have counts for
13 papers
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Ziyuan Zhao, Peisheng Qian, Xulei Yang +4
Protein-protein interactions (PPIs) are crucial in various biological processes and their study has significant implications for drug development and disease diagnosis. Existing de…
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning
Rajdeep Dutta, Qincheng Wang, Ankur Singh +3
This paper presents a novel RL algorithm, S-REINFORCE, which is designed to generate interpretable policies for dynamic decision-making tasks. The proposed algorithm leverages two…
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong +3
Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Almost all the existing solutions for SBR model us…
RST Parsing from Scratch
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty +1
We introduce a novel top-down end-to-end formulation of document-level discourse parsing in the Rhetorical Structure Theory (RST) framework. In this formulation, we consider discou…
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading
Ziyuan Zhao, Kartik Chopra, Zeng Zeng +1
Diabetes is one of the most common disease in individuals. \textit{Diabetic retinopathy} (DR) is a complication of diabetes, which could lead to blindness. Automatic DR grading bas…
Recent Advances in Network-based Methods for Disease Gene Prediction
Sezin Kircali Ata, Min Wu, Yuan Fang +3
Disease-gene association through Genome-wide association study (GWAS) is an arduous task for researchers. Investigating single nucleotide polymorphisms (SNPs) that correlate with s…