Haoteng YIN

Haoteng YIN

Purdue University

H-index: 5

North America-United States

About Haoteng YIN

Haoteng YIN, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Graph Machine Learning, Computation on Graphs, Spatiotemporal Data Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures

On the inherent privacy properties of discrete denoising diffusion models

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective

OCTAL: Graph Representation Learning for LTL Model Checking

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Haoteng YIN Information

University

Position

___

Citations(all)

3333

Citations(since 2020)

3304

Cited By

642

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Haoteng YIN Skills & Research Interests

Graph Machine Learning

Computation on Graphs

Spatiotemporal Data Analysis

Top articles of Haoteng YIN

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

2024/3

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures

The ACM Web Conference

2024

On the inherent privacy properties of discrete denoising diffusion models

arXiv preprint arXiv:2310.15524

2023/10/24

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

Very Large Databases Conferences 2023

2023/3/6

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective

Advances in Neural Information Processing Systems

2022/12/6

OCTAL: Graph Representation Learning for LTL Model Checking

2022/7/24

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Proceedings of the VLDB Endowment (VLDB 2022)

2022/2/28

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

International Conference on Learning Representations

2022/3/1

Haoteng Yin
Haoteng Yin

H-Index: 2

Pan Li
Pan Li

H-Index: 7

Revisiting graph neural networks and distance encoding from a practical view

Proceedings of the 35th AAAI Conference on Artificial Intelligence DLG Workshop.

2020/11/22

See List of Professors in Haoteng YIN University(Purdue University)

Co-Authors

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