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 66 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

Deep Learning in Single-cell Analysis.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., June, 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.

[BibT_eX]

[DOI]

J. Comput. Biol., 2024

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

[BibT_eX]

[DOI]

CoRR, 2024

Sub-graph Based Diffusion Model for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.

[BibT_eX]

[DOI]

CoRR, 2024

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights.

[BibT_eX]

[DOI]

CoRR, 2024

A Pure Transformer Pretraining Framework on Text-attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

[BibT_eX]

[DOI]

CoRR, 2024

EpiLearn: A Python Library for Machine Learning 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

Precedence-Constrained Winter Value for Effective Graph Data Valuation.

[BibT_eX]

[DOI]

CoRR, 2024

Globally Interpretable Graph Learning via Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

DCAI: Data-centric Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Review of Graph Neural Networks in Epidemic Modeling.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CellPLM: Pre-training of Cell Language Model Beyond Single Cells.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Trustworthy and Responsible AI for Information and Knowledge Management System.

[BibT_eX]

[DOI]

Kim-Kwang Raymond Choo

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

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

[BibT_eX]

[DOI]

Inf. Sci., August, 2023

Graph Data Augmentation for Graph Machine Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Customized Graph Nerual Networks.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[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

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]