Chuxu Zhang | DeepAI

AI Chat

Featured Co-authors

Wei Wei
156 publications
Liang Zhao
139 publications
Jun Zhou
122 publications
Junzhou Huang
106 publications
Chao Huang
95 publications
Xiangliang Zhang
68 publications
Wenhao Yu
66 publications
Meng Jiang
59 publications
Suhang Wang
50 publications
Tong Zhao
48 publications
Haifeng Chen
45 publications

∙ 02/21/2023

Multi-Modal Self-Supervised Learning for Recommendation

The online emergence of multi-modal sharing platforms (eg, TikTok, Youtu...

0 Wei Wei, et al. ∙

∙ 02/01/2023

Knowledge Distillation on Graphs: A Survey

Graph Neural Networks (GNNs) have attracted tremendous attention by demo...

0 Yijun Tian, et al. ∙

∙ 11/19/2022

Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning

Graph Neural Networks (GNNs) have drawn significant attentions over the ...

0 Mingxuan Ju, et al. ∙

∙ 11/12/2022

Self-Supervised Graph Structure Refinement for Graph Neural Networks

Graph structure learning (GSL), which aims to learn the adjacency matrix...

0 Jianan Zhao, et al. ∙

∙ 10/12/2022

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

Graph neural networks (GNNs) have shown remarkable performance on divers...

0 Zhichun Guo, et al. ∙

∙ 10/06/2022

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

A common thread of open-domain question answering (QA) models employs a ...

0 Mingxuan Ju, et al. ∙

∙ 10/05/2022

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...

0 Mingxuan Ju, et al. ∙

∙ 10/01/2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning

Even pruned by the state-of-the-art network compression methods, Graph N...

0 Chunhui Zhang, et al. ∙

∙ 09/30/2022

Contrastive Graph Few-Shot Learning

Prevailing deep graph learning models often suffer from label sparsity i...

0 Chunhui Zhang, et al. ∙

∙ 09/16/2022

Adversarial Cross-View Disentangled Graph Contrastive Learning

Graph contrastive learning (GCL) is prevalent to tackle the supervision ...

0 Qianlong Wen, et al. ∙

∙ 08/22/2022

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs

While Graph Neural Networks (GNNs) have demonstrated their efficacy in d...

0 Yijun Tian, et al. ∙

∙ 08/21/2022

Heterogeneous Graph Masked Autoencoders

Generative self-supervised learning (SSL), especially masked autoencoder...

0 Yijun Tian, et al. ∙

∙ 07/28/2022

Self-Supervised Hypergraph Transformer for Recommender Systems

Graph Neural Networks (GNNs) have been shown as promising solutions for ...

0 Lianghao Xia, et al. ∙

∙ 07/08/2022

Graph-based Molecular Representation Learning

Molecular representation learning (MRL) is a key step to build the conne...

0 Zhichun Guo, et al. ∙

∙ 05/24/2022

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks

Learning effective recipe representations is essential in food studies. ...

0 Yijun Tian, et al. ∙

∙ 05/24/2022

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

Recipe recommendation systems play an essential role in helping people d...

0 Yijun Tian, et al. ∙

∙ 05/19/2022

Label-invariant Augmentation for Semi-Supervised Graph Classification

Recently, contrastiveness-based augmentation surges a new climax in the ...

0 Han Yue, et al. ∙

∙ 10/26/2021

Heterogeneous Temporal Graph Neural Network

Graph neural networks (GNNs) have been broadly studied on dynamic graphs...

6 Yujie Fan, et al. ∙

∙ 02/16/2021

Few-Shot Graph Learning for Molecular Property Prediction

The recent success of graph neural networks has significantly boosted mo...

0 Zhichun Guo, et al. ∙

∙ 09/02/2020

Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...

16 Lu Yu, et al. ∙

∙ 05/19/2020

Addressing Class-Imbalance Problem in Personalized Ranking

Pairwise ranking models have been widely used to address recommendation ...

1 Lu Yu, et al. ∙

∙ 03/12/2020

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning

Path-based relational reasoning over knowledge graphs has become increas...

0 Mandana Saebi, et al. ∙

∙ 11/26/2019

Few-Shot Knowledge Graph Completion

Knowledge graphs (KGs) serve as useful resources for various natural lan...

0 Chuxu Zhang, et al. ∙

∙ 10/07/2019

Graph Few-shot Learning via Knowledge Transfer

Towards the challenging problem of semi-supervised node classification, ...

20 Huaxiu Yao, et al. ∙

∙ 11/20/2018

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Nowadays, multivariate time series data are increasingly collected in va...

0 Chuxu Zhang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world