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Tianwen Jiang

Orcid: 0000-0001-6276-7678

According to our database¹, Tianwen Jiang authored at least 19 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.

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Nitesh V. Chawla

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IEEE Trans. Knowl. Data Eng., 2023

2022

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.

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IEEE Trans. Neural Networks Learn. Syst., 2022

VEM<sup>2</sup>L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion.

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CoRR, 2022

2021

Biomedical Knowledge Graphs Construction From Conditional Statements.

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Nitesh V. Chawla

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IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Validating Label Consistency in NER Data Annotation.

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CoRR, 2021

Validating Label Consistency in NER Data Annotation.

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Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.

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Nitesh V. Chawla

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CoRR, 2020

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.

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Nitesh V. Chawla

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CoRR, 2020

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Error-Bounded Graph Anomaly Loss for GNNs.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.

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Nitesh V. Chawla

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CoRR, 2019

Towards Time-Aware Distant Supervision for Relation Extraction.

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CoRR, 2019

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.

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CoRR, 2019

TUBE: Embedding Behavior Outcomes for Predicting Success.

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Nitesh V. Chawla

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.

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Nitesh V. Chawla

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.

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Nitesh V. Chawla

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CTGA: Graph-based Biomedical Literature Search.

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Nitesh V. Chawla

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Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Constructing Semantic Hierarchies via Fusion Learning Architecture.

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Proceedings of the Information Retrieval - 23rd China conference, 2017

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