Yunsheng Bai | DeepAI

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∙ 05/18/2023

ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation

Recent years have witnessed the growing popularity of domain-specific ac...

0 Yunsheng Bai, et al. ∙

∙ 10/15/2022

Code Recommendation for Open Source Software Developers

Open Source Software (OSS) is forming the spines of technology infrastru...

0 Yiqiao Jin, et al. ∙

∙ 09/19/2022

Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs

Two-view knowledge graphs (KGs) jointly represent two components: an ont...

0 Roshni G. Iyer, et al. ∙

∙ 07/21/2022

Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search

Recent advances have shown the success of using reinforcement learning a...

0 Yunsheng Bai, et al. ∙

∙ 11/17/2021

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks

High-level synthesis (HLS) has freed the computer architects from develo...

0 Atefeh Sohrabizadeh, et al. ∙

∙ 10/12/2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling

Over the past decade, multivariate time series classification (MTSC) has...

4 Haoyan Xu, et al. ∙

∙ 06/11/2020

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction

We introduce Bi-GNN for modeling biological link prediction tasks such a...

0 Yunsheng Bai, et al. ∙

∙ 05/14/2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning

In this work, we are interested in the large graph similarity computatio...

5 Haoyan Xu, et al. ∙

∙ 02/08/2020

Fast Detection of Maximum Common Subgraph via Deep Q-Learning

Detecting the Maximum Common Subgraph (MCS) between two input graphs is ...

22 Yunsheng Bai, et al. ∙

∙ 04/01/2019

Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity

We introduce a novel approach to graph-level representation learning, wh...

0 Yunsheng Bai, et al. ∙

∙ 10/23/2018

Convolutional Set Matching for Graph Similarity

We introduce GSimCNN (Graph Similarity Computation via Convolutional Neu...

2 Yunsheng Bai, et al. ∙

∙ 09/10/2018

Convolutional Neural Networks for Fast Approximation of Graph Edit Distance

Graph Edit Distance (GED) computation is a core operation of many widely...

0 Yunsheng Bai, et al. ∙

∙ 08/16/2018

Graph Edit Distance Computation via Graph Neural Networks

Graph similarity search is among the most important graph-based applicat...

0 Yunsheng Bai, et al. ∙

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