Bruno Ribeiro

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 89

Top Topics

Graph Representations

Social Networks

Top Venues

Publications

Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani
Transferable Neural WAN TE for Changing Topologies. SIGCOMM (2024)
Jiacheng Li, Ninghui Li, Bruno Ribeiro
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. USENIX Security Symposium (2024)
S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. ICLR (2024)
Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR (2024)
Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR (2024)
Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. CoRR (2023)
Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR (2023)
Jiacheng Li, Ninghui Li, Bruno Ribeiro
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. CoRR (2023)
S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning. CoRR (2023)
Elisa Bertino, Hyunwoo Lee, Mengdie Huang, Charalampos Katsis, Zilin Shen, Bruno Ribeiro, Daniel De Mello, Ashish Kundu
A Pro-Active Defense Framework for IoT Systems. CIC (2023)
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. 112 (7) (2023)
Chandan Bothra, Jianfei Gao, Sanjay Rao, Bruno Ribeiro
Veritas: Answering Causal Queries from Video Streaming Traces. SIGCOMM (2023)
Jianfei Gao, Yangze Zhou, Bruno Ribeiro
Double Permutation Equivariance for Knowledge Graph Completion. CoRR (2023)
Xihui Wang, Ali Shakouri, Bruno Ribeiro, George T.-C. Chiu, Jan P. Allebach
Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil. Color Imaging: Displaying, Processing, Hardcopy, and Applications (2023)
Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro
Causal Lifting and Link Prediction. CoRR (2023)
Jiacheng Li, Ninghui Li, Bruno Ribeiro
Effective passive membership inference attacks in federated learning against overparameterized models. ICLR (2023)
S. Chandra Mouli, Yangze Zhou, Bruno Ribeiro
Bias Challenges in Counterfactual Data Augmentation. CoRR (2022)
Jianfei Gao, Bruno Ribeiro
On the Equivalence Between Temporal and Static Equivariant Graph Representations. ICML (2022)
Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. CoRR (2022)
Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation. Data Min. Knowl. Discov. 36 (1) (2022)
Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang
Xatu: Richer Neural Network Based Prediction for Video Streaming. SIGMETRICS (Abstracts) (2022)
Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. NeurIPS (2022)
Chandan Bothra, Jianfei Gao, Sanjay Rao, Bruno Ribeiro
Veritas: Answering Causal Queries from Video Streaming Traces. CoRR (2022)
S. Chandra Mouli, Bruno Ribeiro
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. ICLR (2022)
Jiacheng Li, Ninghui Li, Bruno Ribeiro
Membership Inference Attacks and Defenses in Classification Models. CODASPY (2021)
Leonardo Cotta, Christopher Morris, Bruno Ribeiro
Reconstruction for Powerful Graph Representations. CoRR (2021)
Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang
Xatu: Richer Neural Network Based Prediction for Video Streaming. Proc. ACM Meas. Anal. Comput. Syst. 5 (3) (2021)
Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate
Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. NDSS (2021)
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. ICML (2021)
Leonardo Cotta, Christopher Morris, Bruno Ribeiro
Reconstruction for Powerful Graph Representations. NeurIPS (2021)
Jianfei Gao, Bruno Ribeiro
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions. CoRR (2021)
Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
Size-Invariant Graph Representations for Graph Classification Extrapolations. ICML (2021)
S. Chandra Mouli, Bruno Ribeiro
Neural Networks for Learning Counterfactual G-Invariances from Single Environments. ICLR (2021)
Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
Size-Invariant Graph Representations for Graph Classification Extrapolations. CoRR (2021)
Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner
Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. 6 (1) (2021)
Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro
Set Twister for Single-hop Node Classification. CoRR (2021)
S. Chandra Mouli, Bruno Ribeiro
Neural Networks for Learning Counterfactual G-Invariances from Single Environments. CoRR (2021)
Wo Jae Lee, Kevin Xia, Nancy L. Denton, Bruno Ribeiro, John W. Sutherland
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. J. Intell. Manuf. 32 (2) (2021)
Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro
Contextual Unsupervised Outlier Detection in Sequences. CoRR (2021)
Balasubramaniam Srinivasan, Bruno Ribeiro
On the Equivalence between Positional Node Embeddings and Structural Graph Representations. ICLR (2020)
Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. EPJ Data Sci. 9 (1) (2020)
Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. CODASPY (2020)
Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. CoRR (2020)
Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding
On New Group Popularity Prediction in Event-Based Social Networks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. AAAI (2020)
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. CoRR (2020)
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
A Collective Learning Framework to Boost GNN Expressiveness. CoRR (2020)
Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. CoRR (2020)
Panchapakesan C. Sruthi, Sanjay Rao, Bruno Ribeiro
Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. NetAI@SIGCOMM (2020)
Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation. CoRR (2020)
Amit Sheoran, Sonia Fahmy, Matthew Osinski, Chunyi Peng, Bruno Ribeiro, Jia Wang
Experience: towards automated customer issue resolution in cellular networks. MobiCom (2020)
Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. NeurIPS (2020)
Jiacheng Li, Ninghui Li, Bruno Ribeiro
Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap. CoRR (2020)
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. ICLR (Poster) (2019)
Bruno Ribeiro
GrAPL Keynote 2. IPDPS Workshops (2019)
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
Are Graph Neural Networks Miscalibrated? CoRR (2019)
Natalie Linnell, Phil Gonsalves, Mayank Kakodkar, Vanessa Martinez, Tim Urdan, Bruno Ribeiro, Janice Zdankus
Curated Pathways to Innovation: Personalized CS Education to Promote Diversity. SIGCSE (2019)
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
Relational Pooling for Graph Representations. ICML (2019)
Fabricio Murai, Bruno Ribeiro, Don Towsley, Pinghui Wang
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Balasubramaniam Srinivasan, Bruno Ribeiro
On the Equivalence between Node Embeddings and Structural Graph Representations. CoRR (2019)
Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C. S. Lui, Don Towsley, Xiaohong Guan
Practical characterization of large networks using neighborhood information. Knowl. Inf. Syst. 58 (3) (2019)
Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD (2019)
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
Relational Pooling for Graph Representations. CoRR (2019)
S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro
Deep Lifetime Clustering. CoRR (2019)
Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. AAAI (2018)
Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref
SBG-sketch: a self-balanced sketch for labeled-graph stream summarization. SSDBM (2018)
Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro
Feedforward Neural Networks for Caching: n Enough or Too Much? SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding
On Group Popularity Prediction in Event-Based Social Networks. ICWSM (2018)
Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro
Feedforward Neural Networks for Caching: Enough or Too Much? CoRR (2018)
Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay G. Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang
Oboe: auto-tuning video ABR algorithms to network conditions. SIGCOMM (2018)
Kun Tu, Bruno Ribeiro, Ananthram Swami, Don Towsley
Tracking Groups in Mobile Network Traces. NetAI@SIGCOMM (2018)
Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile
Selective harvesting over networks. Data Min. Knowl. Discov. 32 (1) (2018)
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. CoRR (2018)
Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.
Graph Pattern Mining and Learning through User-defined Relations (Extended Version). CoRR (2018)
Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. AAAI (2018)
Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.
Graph Pattern Mining and Learning through User-Defined Relations. ICDM (2018)
Jiasen Yang, Bruno Ribeiro, Jennifer Neville
Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM (2017)
S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville
Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR (2017)
Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. CoRR (2017)
Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref
SBG-Sketch: A Self-Balanced Sketch for Labeled-Graph Stream Summarization. CoRR (2017)
Jiasen Yang, Bruno Ribeiro, Jennifer Neville
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR (2017)
Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla
Detecting Anomalies in Sequential Data with Higher-order Networks. CoRR (2017)
Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile
Selective Harvesting over Networks. CoRR (2017)
Flavio V. D. de Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos
TribeFlow: Mining & Predicting User Trajectories. WWW (2016)
Flavio V. D. de Figueiredo, Bruno Ribeiro, Christos Faloutsos, Nazareno Andrade, Jussara M. Almeida
Mining Online Music Listening Trajectories. ISMIR (2016)
Bruno Ribeiro, Christos Faloutsos
Modeling Website Popularity Competition in the Attention-Activity Marketplace. WSDM (2015)
Flavio V. D. de Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos
TribeFlow: Mining & Predicting User Trajectories. CoRR (2015)
Bruno Ribeiro
Challenges of Forecasting and Measuring a Complex Networked World. WWW (Companion Volume) (2015)
Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh
Beyond Models: Forecasting Complex Network Processes Directly from Data. WWW (2015)
Bruno Ribeiro
Modeling and predicting the growth and death of membership-based websites. WWW (2014)
Flavio V. D. de Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. ECML/PKDD (1) (2014)
Ting-Kai Huang, Bruno Ribeiro, Harsha V. Madhyastha, Michalis Faloutsos
The socio-monetary incentives of online social network malware campaigns. COSN (2014)
Bruno Ribeiro, Christos Faloutsos
Modeling Website Popularity Competition in the Attention-Activity Marketplace. CoRR (2014)
Flavio V. D. de Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. CoRR (2014)
Bruno Ribeiro
Understanding the growth and death of online social networks: evidence and model. CoRR (2013)