02/2024
New preprints are available at Graph Data Valuation, Graph Foundation Model, Machanism of In-context Learning, Graph Condensation, Safe Multi-Modal Learning System,Graph Contrastive Leaning.
01/2024
One paper accepted by ICLR 2024.
12/2023
One paper accepted by SDM 2024. Congratulations to Hongliang!
09/2023
Two papers accepted by NeurIPS2023.
08/2023
One paper accepted by CIKM2023.
07/2023
One paper accepted by S&P2024.
05/2023
Our lab is honored to receive a research grant from NSF for the project SHINE:Prediction of Coronal Mass Ejections and Interplanetary Magnetic Fields Using Advanced Artificial Intelligence Techniques. Congratulations!
05/2023
One paper accepted by ACL2023.
04/2023
One paper accepted by TKDE.
04/2023
One paper accepted by SIGIR2023.
11/2022
Data Science for Smart Manufacturing and Healthcare workshop at SDM2023.
10/2022
Machine Learning on Graphs (MLoG) workshop at WSDM2023.
08/2022
Gratefully received a research grant from NSF (IIS-2212145).
08/2022
Cong and Jialiang join us as PhD students. Welcome!
08/2022
New preprint on graph contrastive learning is available here.
06/2022
Amanda joins us as a summer intern. Welcome!
04/2022
Machine Learning on Graphs (MLoG) workshop at ICDM2022.
04/2022
Mike was awarded the NJIT Provost Undergraduate Research and Innovation (URI) Summer Fellowship. Congratulations!
04/2022
Hongliang received a student travel award to attend SDM2022. Congratulations!
03/2022
Hongliang was accepted to the Doctoral Forum at SDM2022. Congratulations!
02/2022
Gratefully received an NSF CRII grant (IIS-2153326) to support our research on advancing graph neural networks.
01/2022
Two papers accepted by ICLR2022.
12/2021
[CFP] Machine Learning with Complex Graphs with Yao as Topic Editor for Frontiers in Big Data.
11/2021
[CFP] Machine Learning on Graphs (MLoG) workshop at WSDM2022.
09/2021
One paper accepted by NeurIPS2021.
08/2021
Two papers accepted by CIKM2021.