Qiaoyu Tan | DeepAI

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∙ 08/18/2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction

Self-supervised learning with masked autoencoders has recently gained po...

0 Yucheng Shi, et al. ∙

∙ 08/10/2023

Homophily-enhanced Structure Learning for Graph Clustering

Graph clustering is a fundamental task in graph analysis, and recent adv...

0 Ming Gu, et al. ∙

∙ 07/22/2023

Collaborative Graph Neural Networks for Attributed Network Embedding

Graph neural networks (GNNs) have shown prominent performance on attribu...

0 Qiaoyu Tan, et al. ∙

∙ 06/17/2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Graph Neural Networks (GNNs) have emerged as the de facto standard for r...

0 Zhiyao Zhou, et al. ∙

∙ 03/30/2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant

Organ transplant is the essential treatment method for some end-stage di...

0 Sirui Ding, et al. ∙

∙ 03/24/2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint

Clinical trials are indispensable in developing new treatments, but they...

0 Chia-Yuan Chang, et al. ∙

∙ 02/28/2023

Towards Personalized Preprocessing Pipeline Search

Feature preprocessing, which transforms raw input features into numerica...

0 Diego Martinez, et al. ∙

∙ 12/23/2022

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection

Graph neural networks (GNNs) have received remarkable success in link pr...

17 Qiaoyu Tan, et al. ∙

∙ 09/14/2022

Graph Contrastive Learning with Personalized Augmentation

Graph contrastive learning (GCL) has emerged as an effective tool for le...

0 Xin Zhang, et al. ∙

∙ 01/07/2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

We introduce a novel masked graph autoencoder (MGAE) framework to perfor...

0 Qiaoyu Tan, et al. ∙

∙ 02/18/2021

Dynamic Memory based Attention Network for Sequential Recommendation

Sequential recommendation has become increasingly essential in various o...

0 Qiaoyu Tan, et al. ∙

∙ 02/18/2021

Sparse-Interest Network for Sequential Recommendation

Recent methods in sequential recommendation focus on learning an overall...

0 Qiaoyu Tan, et al. ∙

∙ 03/04/2020

Learning to Hash with Graph Neural Networks for Recommender Systems

Graph representation learning has attracted much attention in supporting...

0 Qiaoyu Tan, et al. ∙

∙ 05/25/2019

Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

Networks have been widely used as the data structure for abstracting rea...

0 Ninghao Liu, et al. ∙

∙ 04/18/2019

Deep Representation Learning for Social Network Analysis

Social network analysis is an important problem in data mining. A fundam...

0 Qiaoyu Tan, et al. ∙

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