Ribeiro, Bruno
- Relational Pooling for Graph Representations
2019/03/06 by Ryan L. Murphy, Balasubramaniam Srinivasan, Murphy, Ryan L. +5 · 13 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques #Topic Modeling
- Reconstruction for Powerful Graph Representations
2021/10/01 by Cotta, Leonardo, Morris, Christopher, Ribeiro, Bruno · 5 citations
#Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
2023/12/07 by Shirley Wu, Kaidi Cao, Wu, Shirley +7 · 7 citations
Computer Science · Environmental Science · #Advanced Graph Neural Networks #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG)
- Size-Invariant Graph Representations for Graph Classification Extrapolations
2021/03/08 by Beatrice Bevilacqua, Yangze Zhou, Bevilacqua, Beatrice +3 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI)
- A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
2023/07/12 by Zhou, Jincheng, Bevilacqua, Beatrice, Ribeiro, Bruno · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
2022/05/30 by Zhou, Yangze, Kutyniok, Gitta, Ribeiro, Bruno · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
2025/02/26 by Yucheng Zhang, Beatrice Bevilacqua, Zhang, Yucheng +5 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #Topic Modeling
- Estimating and Sampling Graphs with Multidimensional Random Walks
2010/02/09 by Ribeiro, Bruno, Towsley, Don · 1 citation
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #G.3 #Networking and Internet Architecture (cs.NI)
- Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
2023/02/02 by Zhou, Jincheng, Zhang, Yucheng, Jian‐Fei Gao +5 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Modeling and Predicting the Growth and Death of Membership-based\n Websites
2013/07/04 by Bruno Ribeiro, Ribeiro, Bruno · 1 citation
Decision Sciences · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Innovation Diffusion and Forecasting #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
- Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
2024/05/29 by Pissarra, David, Curioso, Isabel, Alveira, João +6 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG)
- A Foundation Model for Zero-shot Logical Query Reasoning
2024/04/10 by Mikhail Galkin, Galkin, Mikhail, Jincheng Zhou +7 · 2 citations
Computer Science · #Logic, Reasoning, and Knowledge #Semantic Web and Ontologies #Rough Sets and Fuzzy Logic
- Efficient Subgraph GNNs by Learning Effective Selection Policies
2023/10/30 by Beatrice Bevilacqua, Moshe Eliasof, Bevilacqua, Beatrice +7 · 2 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Neural Networks for Learning Counterfactual G-Invariances from Single Environments
2021/04/20 by Mouli, S Chandra, Ribeiro, Bruno · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Veritas: Answering Causal Queries from Video Streaming Traces
2022/08/26 by Chandan Bothra, Jian‐Fei Gao, Bothra, Chandan +5 · 1 citation
Computer Science · #FOS: Computer and information sciences #Image and Video Quality Assessment #Internet Traffic Analysis and Secure E-voting #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI)
- MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
2023/03/06 by S. Chandra Mouli, Muhammad A. Alam, Mouli, S Chandra +3 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
2023/11/02 by Li, Jiacheng, Li, Ninghui, Ribeiro, Bruno · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls
2017/07/24 by Jiasen Yang, Bruno Ribeiro, Yang, Jiasen +3 · 2 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders
2024/11/29 by Parjanya Prashant, Seyedeh Baharan Khatami, Prashant, Parjanya +5 · 1 citation
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Portfolio Optimization
- DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
2025/02/09 by Mantri, Krishna Sri Ipsit, Schönlieb, Carola-Bibiane, Ribeiro, Bruno +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences