Bruno Ribeiro
Physics and Astronomy · Purdue University West Lafayette
Publications
184
Citations
2,601
Est. group size
~3
Recurring co-author estimate
Active years
25
Publishing since 2001
This researcher works primarily on machine learning methods for graph and relational data, including graph neural networks, knowledge graph reasoning, link prediction, and causal inference in structured data. Publications also touch on applications such as clinical data imputation, network security, and video streaming analytics, with occasional unrelated titles suggesting collaborations or shared author names across different fields. Prospective students would likely engage with topics at the intersection of machine learning, graph-structured data, and causal reasoning.
Publication output has been relatively steady over the past decade, averaging around 8-15 papers per year, with a modest decline in the most recent two years compared to the 2021-2023 peak.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Pharmacological inhibition of key metabolic pathways attenuates Leishmania spp infection in macrophages
PLoS neglected tropical diseases · 2025
- On the Effectiveness of Random Weights in Graph Neural Networks
arXiv (Cornell University) · 2025
- Demo: V2X-Based Electronic Fee Collection
2025
- Viability of general relativity and modified gravity cosmologies using high-redshift cosmic probes
arXiv (Cornell University) · 2025
- Imitative Membership Inference Attack
arXiv (Cornell University) · 2025
- Castle: Causal Cascade Updates in Relational Databases with Large Language Models
2025
- Boosting Relational Deep Learning with Pretrained Tabular Models
arXiv (Cornell University) · 2025
- TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
arXiv (Cornell University) · 2025
- GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
2024
- A Foundation Model for Zero-shot Logical Query Reasoning
2024
- A Foundation Model for Zero-shot Logical Query Reasoning
arXiv (Cornell University) · 2024
- Avaliação de arquiteturas de síntese de fala generativa com abordagens de espectrograma e fim-a-fim em cenários low-resource para clonagem de voz
2024
- CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems
Communications in computer and information science · 2024
- Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation
Journal of King Saud University - Computer and Information Sciences · 2023
- Causal lifting and link prediction
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2023
- arXiv (Cornell University)×52
- ACM SIGMETRICS Performance Evaluation Review×4
- Proceedings of the AAAI Conference on Artificial Intelligence×3
- Data Mining and Knowledge Discovery×2
- Proceedings of the International AAAI Conference on Web and Social Media×2
- David F. Gleich
Physics and Astronomy · Purdue University West Lafayette
- Xiaodan Lou
Physics and Astronomy · Indiana University
- Tanya Berger‐Wolf
Physics and Astronomy · The Ohio State University
- Filippo Radicchi
Physics and Astronomy · Indiana University
- Chengjun Wang
Physics and Astronomy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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