Zhe Xu

Orcid: 0000-0002-6675-1398

Affiliations:
  • University of Illinois Urbana-Champaign, Urbana, IL, USA


According to our database1, Zhe Xu authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Generalized few-shot node classification: toward an uncertainty-based solution.
Knowl. Inf. Syst., February, 2024

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
Invariant Graph Transformer.
CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.
CoRR, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Node Classification Beyond Homophily: Towards a General Solution.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Data Augmentation for Deep Graph Learning: A Survey.
SIGKDD Explor., 2022

Learning Optimal Propagation for Graph Neural Networks.
CoRR, 2022

Graph Sanitation with Application to Node Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Few-Shot Node Classification.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Graph Sanitation with Application to Node Classification.
CoRR, 2021

DESTINE: Dense Subgraph Detection on Multi-Layered Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A View-Adversarial Framework for Multi-View Network Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Ranking on Network of Heterogeneous Information Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020


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