Yao Ma

Orcid: 0000-0002-4985-8724

Affiliations:

New Jersey Institute of Technology, Newark, NJ, USA
Michigan State University, East Lansing, MI, USA

According to our database¹, Yao Ma authored at least 75 papers between 2017 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 Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

[BibT_eX]

[DOI]

CoRR, 2024

Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Safe Multi-Modal Learning System.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Data Generation Perspective to the Mechanism of In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Precedence-Constrained Winter Value for Effective Graph Data Valuation.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Graph Condensation with Structure-based Neural Tangent Kernel.

[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

The 5th International Workshop on Machine Learning on Graphs (MLoG).

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Deciphering Crypto Twitter.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Web Science Conference, 2024

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Active Learning for Graphs with Noisy Structures.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

A Survey on Safe Multi-Modal Learning Systems.

[BibT_eX]

[DOI]

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

LPFormer: An Adaptive Graph Transformer for Link Prediction.

[BibT_eX]

[DOI]

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

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.

[BibT_eX]

[DOI]

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

Enhancing Contrastive Learning on Graphs with Node Similarity.

[BibT_eX]

[DOI]

Hongliang Chi

Yao Ma

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

Position: Graph Foundation Models Are Already Here.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Link Prediction: a data perspective.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Customized Graph Nerual Networks.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Adaptive Pairwise Encodings for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

The 3rd International Workshop on Machine Learning on Graphs (MLoG).

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Enhanced BERT for Query Understanding.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

[BibT_eX]

[DOI]

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

Distance-Based Propagation for Efficient Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Fair Graph Neural Networks via Graph Counterfactual.

[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

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

[BibT_eX]

[DOI]

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

2022

A Graph Neural Network Framework for Social Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Negative samples selecting strategy for graph contrastive learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Learning Representations for Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Enhancing Graph Contrastive Learning with Node Similarity.

[BibT_eX]

[DOI]

Hongliang Chi

Yao Ma

CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

[BibT_eX]

[DOI]

CoRR, 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

Automated Self-Supervised Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Is Homophily a Necessity for Graph Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation Learning.

[BibT_eX]

[DOI]

Yufei He

Yao Ma

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Node Similarity Preserving Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

Graph Adversarial Attack via Rewiring.

[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

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 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

A Unified View on Graph Neural Networks as Graph Signal Denoising.

[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

2020

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2020

Non-IID Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Traffic Flow Prediction via Spatial Temporal Graph Neural Network.

[BibT_eX]

[DOI]

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

Epidemic Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Streaming Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Adversarial Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Deep Graph Learning: Foundations, Advances and Applications.

[BibT_eX]

[DOI]

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

Graph Structure Learning for Robust Graph Neural Networks.

[BibT_eX]

[DOI]

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

Learning from Incomplete Labeled Data via Adversarial Data Generation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Graph Pooling with Representativeness.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

R-Transformer: Recurrent Neural Network Enhanced Transformer.

[BibT_eX]

[DOI]

CoRR, 2019

Attacking Graph Convolutional Networks via Rewiring.

[BibT_eX]

[DOI]

CoRR, 2019

Graph Neural Networks for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Multi-dimensional Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep social collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Graph Convolutional Networks with EigenPooling.

[BibT_eX]

[DOI]

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

Deep Adversarial Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Signed Graph Convolutional Network.

[BibT_eX]

[DOI]

Tyler Derr

Yao Ma

Jiliang Tang

CoRR, 2018

Linked Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Signed Graph Convolutional Networks.

[BibT_eX]

[DOI]

Tyler Derr

Yao Ma

Jiliang Tang

Proceedings of the IEEE International Conference on Data Mining, 2018

Local and Global Information Preserved Network Embedding.

[BibT_eX]

[DOI]

Yao Ma

Suhang Wang

Jiliang Tang

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Preserving Local and Global Information for Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2017

Network Embedding with Centrality Information.

[BibT_eX]

[DOI]

Yao Ma

Suhang Wang

Jiliang Tang

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Yao Ma

Timeline

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