Error-bounded graph anomaly loss for GNNs T Zhao, C Deng, K Yu, T Jiang, D Wang, M Jiang
Proceedings of the 29th ACM International Conference on Information …, 2020
54 2020 The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model T Jiang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
47 2019 A synergistic approach for graph anomaly detection with pattern mining and feature learning T Zhao, T Jiang, N Shah, M Jiang
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2393-2405, 2021
32 2021 Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text T Jiang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
2019 Conference on Empirical Methods in Natural Language Processing, 2019
17 2019 Biomedical knowledge graphs construction from conditional statements T Jiang, Q Zeng, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2020
14 2020 Tube: Embedding behavior outcomes for predicting success D Wang, T Jiang, NV Chawla, M Jiang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
12 2019 Modeling co-evolution of attributed and structural information in graph sequence D Wang, Z Zhang, Y Ma, T Zhao, T Jiang, N Chawla, M Jiang
IEEE Transactions on Knowledge and Data Engineering, 2021
11 2021 Learning attribute-structure co-evolutions in dynamic graphs D Wang, Z Zhang, Y Ma, T Zhao, T Jiang, NV Chawla, M Jiang
arXiv preprint arXiv:2007.13004, 2020
9 2020 Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER Q Zeng, W Yu, M Yu, T Jiang, T Weninger, M Jiang
Findings of the Association for Computational Linguistics: EMNLP 2020, 4778-4787, 2020
7 2020 GNN-based graph anomaly detection with graph anomaly loss T Zhao, C Deng, K Yu, T Jiang, D Wang, M Jiang
The Second International Workshop on Deep Learning on Graphs: Methods and …, 2020
7 2020 Validating Label Consistency in NER Data Annotation Q Zeng, M Yu, W Yu, T Jiang, M Jiang
arXiv preprint arXiv:2101.08698, 2021
6 2021 CTGA: Graph-based Biomedical Literature Search T Jiang, Z Zhang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
6 2019 基于表示学习的开放域中文知识推理 姜天文， 秦兵， 刘挺
中文信息学报 32 (3), 34-41, 2018
6 2018 Open Domain Knowledge Reasoning for Chinese Based on Representation Learning T Jiang, B Qin, T Liu
J. Chin. Inf. Process 32, 34-41, 2018
4 2018 Constructing semantic hierarchies via fusion learning architecture T Jiang, M Liu, B Qin, T Liu
Information Retrieval: 23rd China conference, CCIR 2017, Shanghai, China …, 2017
4 2017 Canonicalizing open knowledge bases with multi-layered meta-graph neural network T Jiang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
arXiv preprint arXiv:2006.09610, 2020
3 2020 VEM T He, M Liu, Y Cao, T Jiang, Z Zheng, J Zhang, S Zhao, B Qin
arXiv preprint arXiv:2207.01528, 2022
2 2022 Constructing information-lossless biological knowledge graphs from conditional statements T Jiang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
arXiv preprint arXiv:1907.00720, 2019
2 2019 Towards Time-Aware Distant Supervision for Relation Extraction T Jiang, S Zhao, J Liu, JG Yao, M Liu, B Qin, T Liu, CY Lin
arXiv preprint arXiv:1903.03289, 2019
2 2019 Attribute acquisition in ontology based on representation learning of hierarchical classes and attributes T Jiang, M Liu, B Qin, T Liu
arXiv preprint arXiv:1903.03282, 2019
1 2019 
Meng JiangUniversity of Notre DameVerified email at nd.edu
