Jia Li

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 20

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Publications

Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD (2024)
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR (2024)
Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li
Path-based Explanation for Knowledge Graph Completion. KDD (2024)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM (2024)
Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu
Graph Intelligence with Large Language Models and Prompt Learning. KDD (2024)
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. WWW (2024)
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. CoRR (2024)
Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. CoRR (2024)
Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li
GraphWiz: An Instruction-Following Language Model for Graph Computational Problems. KDD (2024)
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD (2024)
Nuo Chen, Hongguang Li, Juhua Huang, Baoyuan Wang, Jia Li
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations. CoRR (2024)
Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li
GraphWiz: An Instruction-Following Language Model for Graph Problems. CoRR (2024)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR (2024)
Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li
GraphArena: Benchmarking Large Language Models on Graph Computational Problems. CoRR (2024)
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
Protein Multimer Structure Prediction via Prompt Learning. ICLR (2024)
Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. CoRR (2024)
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR (2024)
Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
ProG: A Graph Prompt Learning Benchmark. CoRR (2024)
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
Protein Multimer Structure Prediction via Prompt Learning. CoRR (2024)
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD (2024)