Bruno Ribeiro

Bruno Ribeiro

Purdue University

H-index: 30

North America-United States

About Bruno Ribeiro

Bruno Ribeiro, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Machine Learning, Invariant Representations, Relational Learning.

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

Zero-shot Logical Query Reasoning on any Knowledge Graph

Efficient Subgraph GNNs by Learning Effective Selection Policies

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes

Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning

Reducing classifier overconfidence against adversaries through graph algorithms

A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes

Distribution Shift Resilient GNN via Mixture of Aligned Experts

Bruno Ribeiro Information

University

Position

Assistant Professor at

Citations(all)

3541

Citations(since 2020)

2176

Cited By

2094

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

60

i10Index(since 2020)

43

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Bruno Ribeiro Skills & Research Interests

Machine Learning

Invariant Representations

Relational Learning

Top articles of Bruno Ribeiro

Title

Journal

Author(s)

Publication Date

Zero-shot Logical Query Reasoning on any Knowledge Graph

arXiv preprint arXiv:2404.07198

Mikhail Galkin

Jincheng Zhou

Bruno Ribeiro

Jian Tang

Zhaocheng Zhu

2024/4/10

Efficient Subgraph GNNs by Learning Effective Selection Policies

arXiv preprint arXiv:2310.20082

Beatrice Bevilacqua

Moshe Eliasof

Eli Meirom

Bruno Ribeiro

Haggai Maron

2023/10/30

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes

arXiv:2307.06046

Jincheng Zhou

Beatrice Bevilacqua

Bruno Ribeiro

2023/7/12

Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil

Electronic Imaging

Xihui Wang

Ali Shakouri

Bruno Ribeiro

George TC Chiu

Jan P Allebach

2023/1

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning

S Chandra Mouli

Muhammad Alam

Bruno Ribeiro

2023/10/13

Reducing classifier overconfidence against adversaries through graph algorithms

Machine Learning

Leonardo Teixeira

Brian Jalaian

Bruno Ribeiro

2023/3/14

A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes

Jincheng Zhou

Beatrice Bevilacqua

Bruno Ribeiro

2023/12/21

Distribution Shift Resilient GNN via Mixture of Aligned Experts

Shirley Wu

Kaidi Cao

Bruno Ribeiro

James Zou

Jure Leskovec

2023/10/13

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning

arXiv preprint arXiv:2303.03181

S Chandra Mouli

Muhammad Ashraful Alam

Bruno Ribeiro

2023/3/6

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts

arXiv preprint arXiv:2312.04693

Shirley Wu

Kaidi Cao

Bruno Ribeiro

James Zou

Jure Leskovec

2023/12/7

Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

arXiv preprint arXiv:2302.01313

Jianfei Gao

Yangze Zhou

Jincheng Zhou

Bruno Ribeiro

2023/2/2

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training

arXiv preprint arXiv:2311.00919

Jiacheng Li

Ninghui Li

Bruno Ribeiro

2023/11/2

Veritas: Answering causal queries from video streaming traces

Chandan Bothra

Jianfei Gao

Sanjay Rao

Bruno Ribeiro

2023/9/10

Effective passive membership inference attacks in federated learning against overparameterized models

Jiacheng Li

Ninghui Li

Bruno Ribeiro

2022/9/29

A Pro-Active Defense Framework for IoT Systems

Elisa Bertino

Hyunwoo Lee

Mengdie Huang

Charalampos Katsis

Zilin Shen

...

2023/11/1

Causal lifting and link prediction

Proceedings of the Royal Society A

Leonardo Cotta

Beatrice Bevilacqua

Nesreen Ahmed

Bruno Ribeiro

2023/2/2

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs

Advances in Neural Information Processing Systems

Yangze Zhou

Gitta Kutyniok

Bruno Ribeiro

2022/12/6

Asymmetry learning for counterfactually-invariant classification in ood tasks

International Conference on Learning Representations

S Chandra Mouli

Bruno Ribeiro

2022/4

PROACTIVE CUSTOMER CARE IN A COMMUNICATION SYSTEM

2022/10/13

Bias Challenges in Counterfactual Data Augmentation

arXiv preprint arXiv:2209.05104

S Chandra Mouli

Yangze Zhou

Bruno Ribeiro

2022/9/12

See List of Professors in Bruno Ribeiro University(Purdue University)

Co-Authors

H-index: 151
Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

H-index: 142
Don Towsley

Don Towsley

University of Massachusetts Amherst

H-index: 65
Michalis Faloutsos

Michalis Faloutsos

University of California, Riverside

H-index: 51
Andrea Baronchelli

Andrea Baronchelli

City University

H-index: 44
Benyuan Liu

Benyuan Liu

University of Massachusetts Lowell

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