Wei Jin

Orcid: 0000-0002-5054-954X

Affiliations:

Emory University, Atlanta, GA, USA
Michigan State University (MSU), Department of Computer Science and Engineering, East Lansing, MI, USA (Ph.D., 2023)

According to our database¹, Wei Jin authored at least 49 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Review of Graph Neural Networks in Epidemic Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

Precedence-Constrained Winter Value for Effective Graph Data Valuation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

INS-GNN: Improving graph imbalance learning with self-supervision.

[BibT_eX]

[DOI]

Inf. Sci., August, 2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

[BibT_eX]

[DOI]

CoRR, 2023

Label-free Node Classification on Graphs with Large Language Models (LLMS).

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.

[BibT_eX]

[DOI]

CoRR, 2023

Toward Degree Bias in Embedding-Based Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.

[BibT_eX]

[DOI]

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

Empowering Graph Representation Learning with Test-Time Graph Transformation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Jointly Attacking Graph Neural Network and its Explanations.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Single-Cell Multimodal Prediction via Transformers.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Representations for Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Deep Learning in Single-Cell Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Test-Time Training for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Representations for Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Trend Filtering Networks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Localized Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Condensing Graphs via One-Step Gradient Matching.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Condensation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Automated Self-Supervised Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Trend Networks for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Localized Graph Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Node Similarity Preserving Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Graph Mining with Graph Neural Networks.

[BibT_eX]

[DOI]

Wei Jin

Proceedings of the WSDM '21, 2021

Graph Neural Networks with Adaptive Residual.

[BibT_eX]

[DOI]

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

Graph Representation Learning: Foundations, Methods, Applications and Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Elastic Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Graph Feature Gating Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DeepRobust: a Platform for Adversarial Attacks and Defenses.

[BibT_eX]

[DOI]