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Jia Li
Jia Li
HKUST Guangzhou
Bestätigte E-Mail-Adresse bei ust.hk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Rethinking Graph Neural Networks for Anomaly Detection
J Tang, J Li, Z Gao, J Li
ICML, 2022
2232022
Semi-supervised graph classification: A hierarchical graph perspective
J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang
The World Wide Web Conference, 972-982, 2019
1722019
All in One: Multi-Task Prompting for Graph Neural Networks
X Sun, H Cheng, J Li, B Liu, J Guan
KDD 2023, 2023
1612023
Predicting path failure in time-evolving graphs
J Li, Z Han, H Cheng, J Su, P Wang, J Zhang, L Pan
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1572019
Hierarchical graph learning for protein–protein interaction
Z Gao, C Jiang, J Zhang, X Jiang, L Li, P Zhao, H Yang, Y Huang, J Li
Nature Communications 14 (1), 1093, 2023
1092023
Adversarial attack on community detection by hiding individuals
J Li, H Zhang, Z Han, Y Rong, H Cheng, J Huang
Proceedings of The Web Conference 2020, 917-927, 2020
1012020
A survey of graph meets large language model: Progress and future directions
Y Li, Z Li, P Wang, J Li, X Sun, H Cheng, JX Yu
IJCAI 2024, 2023
73*2023
Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters
N Chen, Y Wang, H Jiang, D Cai, Y Li, Z Chen, L Wang, J Li
EMNLP 2023 Findings, 2023
62*2023
TATC: predicting Alzheimer's disease with actigraphy data
J Li, Y Rong, H Meng, Z Lu, T Kwok, H Cheng
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
592018
Dirichlet graph variational autoencoder
J Li, J Yu, J Li, H Zhang, K Zhao, Y Rong, H Cheng, J Huang
NeurIPS 33, 5274--5283, 2020
522020
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
J Tang, F Hua, Z Gao, P Zhao, J Li
NeurIPS 2023, 2023
502023
Graph prompt learning: A comprehensive survey and beyond
X Sun, J Zhang, X Wu, H Cheng, Y Xiong, J Li
arXiv preprint arXiv:2311.16534, 2023
492023
Self-supervised hypergraph representation learning for sociological analysis
X Sun, H Cheng, B Liu, J Li, H Chen, G Xu, H Yin
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11860-11871, 2023
472023
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
H Zhao, A Chen, X Sun, H Cheng, J Li
KDD 2024, 2024
332024
Semi-supervised hierarchical graph classification
J Li, Y Huang, H Chang, Y Rong
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6265-6276, 2022
332022
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
A Roy, J Shu, J Li, C Yang, O Elshocht, J Smeets, P Li
WSDM 2024, 2023
322023
Deconvolutional Networks on Graph Data
J Li, J Li, Y Liu, J Yu, Y Li, H Cheng
NeurIPS 34, 21019--21030, 2021
312021
GraphWiz: An Instruction-Following Language Model for Graph Computational Problems
N Chen, Y Li, J Tang, J Li
KDD 2024, 353-364, 2024
26*2024
Breaking language barriers in multilingual mathematical reasoning: Insights and observations
N Chen, Z Zheng, N Wu, L Shou, M Gong, Y Song, D Zhang, J Li
EMNLP 2024 Findings, 2023
262023
Zerog: Investigating cross-dataset zero-shot transferability in graphs
Y Li, P Wang, Z Li, JX Yu, J Li
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
232024
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