Yijun Tian
Cited by
Cited by
Heterogeneous Graph Masked Autoencoders
Y Tian, K Dong, C Zhang, C Zhang, NV Chawla
AAAI 2023 (oral), 2023
Graph-based molecular representation learning
Z Guo, B Nan, Y Tian, O Wiest, C Zhang, NV Chawla
IJCAI 2023, 2022
Graph Neural Prompting with Large Language Models
Y Tian, H Song, Z Wang, H Wang, Z Hu, F Wang, NV Chawla, P Xu
AAAI 2024, 2024
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Y Tian, C Zhang, Z Guo, X Zhang, N Chawla
ICLR 2023 (Spotlight), 2023
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Y Tian, C Zhang, Z Guo, C Huang, R Metoyer, NV Chawla
IJCAI 2022, 2022
Knowledge distillation on graphs: A survey
Y Tian, S Pei, X Zhang, C Zhang, NV Chawla
arXiv preprint arXiv:2302.00219, 2023
Recipe Recommendation With Hierarchical Graph Attention Network
Y Tian, C Zhang, R Metoyer, NV Chawla
Frontiers in Big Data, 2021
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Z Guo, C Zhang, Y Fan, Y Tian, C Zhang, N Chawla
AAAI 2023, 2022
Geek talents: Who are the top experts on github and stack overflow?
Y Tian, W Ng, J Cao, S McIntosh
COMPUTERS MATERIALS & CONTINUA 61 (2), 465-479, 2019
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting
Y Ma, P Gerard, Y Tian, Z Guo, NV Chawla
CIKM 2022, 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Y Tian, C Zhang, Z Guo, Y Ma, R Metoyer, NV Chawla
IJCAI 2022, 2022
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
C Zhang, Y Tian, M Ju, Z Liu, Y Ye, N Chawla, C Zhang
ICLR 2023, 2023
Fair Graph Representation Learning via Diverse Mixture-of-Experts
Z Liu, C Zhang, Y Tian, E Zhang, C Huang, Y Ye, C Zhang
WWW 2023, 2023
NOSMOG: Learning noise-robust and structure-aware mlps on graphs
Y Tian, C Zhang, Z Guo, X Zhang, NV Chawla
NeurIPS 2022 GLFrontiers, 2022
Class-imbalanced learning on graphs: A survey
Y Ma, Y Tian, N Moniz, NV Chawla
arXiv preprint arXiv:2304.04300, 2023
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
X He, Y Tian, Y Sun, NV Chawla, T Laurent, Y LeCun, X Bresson, B Hooi
arXiv preprint arXiv:2402.07630, 2024
FakeEdge: Alleviate Dataset Shift in Link Prediction
K Dong, Y Tian, Z Guo, Y Yang, N Chawla
LoG 2022, 2022
Recipe representation learning with networks
Y Tian, C Zhang, R Metoyer, NV Chawla
CIKM 2021, 2021
Towards Safer Large Language Models through Machine Unlearning
Z Liu, G Dou, Z Tan, Y Tian, M Jiang
ACL 2024 Findings, 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
L Wu, Y Tian, Y Huang, S Li, H Lin, NV Chawla, SZ Li
ICLR 2024, 2024
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