Qi Zhu

Orcid: 0000-0003-0129-8542

Affiliations:

University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA

According to our database¹, Qi Zhu authored at least 37 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GraphStorm: all-in-one graph machine learning framework for industry applications.

[BibT_eX]

[DOI]

CoRR, 2024

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Can GNN be Good Adapter for LLMs?

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The MAPLE Benchmark for Graph Mining.

[BibT_eX]

[DOI]

Dataset, February, 2023

The MAPLE Benchmark for Graph Mining.

[BibT_eX]

[DOI]

Dataset, February, 2023

The MAPLE Benchmark for Scientific Literature Tagging.

[BibT_eX]

[DOI]

Dataset, February, 2023

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining and Adapting Graph Conditional Shift.

[BibT_eX]

[DOI]

CoRR, 2023

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Patton: Language Model Pretraining on Text-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?

[BibT_eX]

[DOI]

CoRR, 2022

Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Augmentation-Free Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Shift-Robust Node Classification via Graph Adversarial Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

2021

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Collective Multi-type Entity Alignment Between Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Unsupervised Differentiable Multi-aspect Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Facet-Aware Evaluation for Extractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Facet-Aware Evaluation for Extractive Text Summarization.

[BibT_eX]

[DOI]

CoRR, 2019

Integrating Local Context and Global Cohesiveness for Open Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Task-Guided Pair Embedding in Heterogeneous Network.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Integrating Local Context and Global Cohesiveness for Open Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2018

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Open Information Extraction with Global Structure Constraints.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017.

[BibT_eX]

[DOI]

CoRR, 2017

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.

[BibT_eX]

[DOI]

Richard M. Weinshilboum

Jiawei Han

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Qi Zhu

Timeline

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