A SIP/H.323 Signaling Gateway Implementation for IP Telephony. - Bruno F. M. Ribeiro; Paulo H. de A. Rodrigues; Cesar Marcondes (LANOMS, 2001)

On Holomorphic Foliations Without Algebraic Solutions. - Severino Collier Coutinho; Bruno F. M. Ribeiro (Exp. Math., 2001)

Exploiting the IPID Field to Infer Network Path and End-System Characteristics. - Weifeng Chen 001; Yong Huang; Bruno F. Ribeiro; Kyoungwon Suh; Honggang Zhang 003; Edmundo de Souza e Silva; James F. Kurose; Donald F. Towsley (PAM, 2005)

Fisher information of sampled packets: an application to flow size estimation. - Bruno F. Ribeiro; Donald F. Towsley; Tao Ye; Jean Bolot (Internet Measurement Conference, 2006)

A resource-minimalist flow size histogram estimator. - Bruno F. Ribeiro; Tao Ye; Donald F. Towsley (Internet Measurement Conference, 2008)

Analyzing Privacy in Enterprise Packet Trace Anonymization. - Bruno F. Ribeiro; Weifeng Chen 001; Gerome Miklau; Donald F. Towsley (NDSS, 2008)

Estimating and sampling graphs with multidimensional random walks. - Bruno F. Ribeiro; Donald F. Towsley (Internet Measurement Conference, 2010)

Improving Random Walk Estimation Accuracy with Uniform Restarts. - Konstantin Avrachenkov; Bruno F. Ribeiro; Donald F. Towsley (WAW, 2010)

Measurement and gender-specific analysis of user publishing characteristics on MySpace. - William Gauvin; Bruno F. Ribeiro; Donald F. Towsley; Benyuan Liu; Jie Wang 002 (IEEE Netw., 2010)

Characterizing continuous-time random walks on dynamic networks. - Bruno F. Ribeiro; Daniel R. Figueiredo 001; Edmundo de Souza e Silva; Donald F. Towsley (SIGMETRICS, 2011)

Characterizing Random Walks on Dynamic Graphs - Daniel R. Figueiredo 001; Bruno F. Ribeiro; Edmundo de Souza e Silva; Don Towsley (CoRR, 2011)

On the estimation accuracy of degree distributions from graph sampling. - Bruno F. Ribeiro; Don Towsley (CDC, 2012)

Multiple random walks to uncover short paths in power law networks. - Bruno F. Ribeiro; Prithwish Basu; Don Towsley (INFOCOM Workshops, 2012)

Sampling directed graphs with random walks. - Bruno F. Ribeiro; Pinghui Wang; Fabricio Murai; Don Towsley (INFOCOM, 2012)

Characterizing continuous time random walks on time varying graphs. - Daniel R. Figueiredo 001; Philippe Nain; Bruno F. Ribeiro; Edmundo de Souza e Silva; Don Towsley (SIGMETRICS, 2012)

Quantifying the effect of temporal resolution in time-varying network - Bruno F. Ribeiro; Nicola Perra; Andrea Baronchelli (CoRR, 2012)

Online Myopic Network Covering - Konstantin Avrachenkov; Prithwish Basu; Giovanni Neglia; Bruno F. Ribeiro; Don Towsley (CoRR, 2012)

A study of user behavior on an online dating site. - Peng Xia 003; Bruno F. Ribeiro; Cindy X. Chen; Benyuan Liu; Don Towsley (ASONAM, 2013)

Characterizing branching processes from sampled data. - Fabricio Murai; Bruno F. Ribeiro; Donald F. Towsley; Krista Gile (WWW (Companion Volume), 2013)

Understanding the growth and death of online social networks: evidence and model. - Bruno Ribeiro 001 (CoRR, 2013)

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark. - Pinghui Wang; John C. S. Lui; Junzhou Zhao; Bruno F. Ribeiro; Don Towsley; Xiaohong Guan (CoRR, 2013)

On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling. - Fabricio Murai; Bruno F. Ribeiro; Don Towsley; Pinghui Wang (IEEE J. Sel. Areas Commun., 2013)

The socio-monetary incentives of online social network malware campaigns. - Ting-Kai Huang; Bruno Ribeiro 001; Harsha V. Madhyastha; Michalis Faloutsos (COSN, 2014)

Pay few, influence most: Online myopic network covering. - Konstantin Avrachenkov; Prithwish Basu; Giovanni Neglia; Bruno F. Ribeiro; Donald F. Towsley (INFOCOM Workshops, 2014)

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. - Flavio Figueiredo; Jussara M. Almeida; Yasuko Matsubara; Bruno Ribeiro 001; Christos Faloutsos (ECML/PKDD (1), 2014)

Efficient network generation under general preferential attachment. - James Atwood; Bruno F. Ribeiro; Don Towsley (WWW (Companion Volume), 2014)

Classifying latent infection states in complex networks. - Yeon-Sup Lim; Bruno F. Ribeiro; Don Towsley (WWW (Companion Volume), 2014)

Modeling and predicting the growth and death of membership-based websites. - Bruno Ribeiro 001 (WWW, 2014)

Online dating recommendations: matching markets and learning preferences. - Kun Tu; Bruno F. Ribeiro; David D. Jensen; Don Towsley; Benyuan Liu; Hua Jiang; Xiaodong Wang (WWW (Companion Volume), 2014)

Who is Dating Whom: Characterizing User Behaviors of a Large Online Dating Site. - Peng Xia 003; Kun Tu; Bruno F. Ribeiro; Hua Jiang; Xiaodong Wang; Cindy X. Chen; Benyuan Liu; Don Towsley (CoRR, 2014)

Efficiently Estimating Motif Statistics of Large Networks. - Pinghui Wang; John C. S. Lui; Bruno F. Ribeiro; Don Towsley; Junzhou Zhao; Xiaohong Guan (ACM Trans. Knowl. Discov. Data, 2014)

Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site. - Peng Xia 003; Kun Tu; Bruno F. Ribeiro; Hua Jiang; Xiaodong Wang; Cindy X. Chen; Benyuan Liu; Don Towsley (Social Network Analysis, 2014)

Modeling Website Popularity Competition in the Attention-Activity Marketplace. - Bruno Ribeiro 001; Christos Faloutsos (WSDM, 2015)

Challenges of Forecasting and Measuring a Complex Networked World. - Bruno Ribeiro 001 (WWW (Companion Volume), 2015)

Beyond Models: Forecasting Complex Network Processes Directly from Data. - Bruno Ribeiro 001; Minh X. Hoang; Ambuj K. Singh (WWW, 2015)

Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls. - Konstantin Avrachenkov; Bruno F. Ribeiro; Jithin Kazuthuveettil Sreedharan (CoRR, 2015)

Mining Online Music Listening Trajectories. - Flavio Figueiredo; Bruno Ribeiro 001; Christos Faloutsos; Nazareno Andrade; Jussara M. Almeida (ISMIR, 2016)

Inference in OSNs via Lightweight Partial Crawls. - Konstantin Avrachenkov; Bruno F. Ribeiro; Jithin Kazuthuveettil Sreedharan (SIGMETRICS, 2016)

On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness. - Bo Jiang 003; Daniel R. Figueiredo 001; Bruno F. Ribeiro; Don Towsley (SIGMETRICS, 2016)

TribeFlow: Mining & Predicting User Trajectories. - Flavio Figueiredo; Bruno Ribeiro 001; Jussara M. Almeida; Christos Faloutsos (WWW, 2016)

Detecting Cluster with Temporal Information in Sparse Dynamic Graph. - Kun Tu; Bruno F. Ribeiro; Ananthram Swami; Don Towsley (CoRR, 2016)

Should We Be Confident in Peer Effects Estimated From Social Network Crawls? - Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (ICWSM, 2017)

Identifying User Survival Types via Clustering of Censored Social Network Data. - S. Chandra Mouli; Abhishek Naik; Bruno Ribeiro 001; Jennifer Neville (CoRR, 2017)

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. - Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (CoRR, 2017)

Detecting Anomalies in Sequential Data with Higher-order Networks. - Jian Xu 019; Mandana Saebi; Bruno Ribeiro 001; Lance M. Kaplan; Nitesh V. Chawla (CoRR, 2017)

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. - Changping Meng; S. Chandra Mouli; Bruno Ribeiro 001; Jennifer Neville (AAAI, 2018)

From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. - Pedro H. P. Savarese; Mayank Kakodkar; Bruno Ribeiro 001 (AAAI, 2018)

Graph Pattern Mining and Learning through User-Defined Relations. - Carlos H. C. Teixeira; Leornado Cotta; Bruno Ribeiro 001; Wagner Meira Jr. (ICDM, 2018)

On Group Popularity Prediction in Event-Based Social Networks. - Guangyu Li; Yong Liu 013; Bruno Ribeiro 001; Hao Ding 006 (ICWSM, 2018)

Oboe: auto-tuning video ABR algorithms to network conditions. - Zahaib Akhtar; Yun Seong Nam; Ramesh Govindan; Sanjay G. Rao; Jessica Chen; Ethan Katz-Bassett; Bruno Ribeiro 001; Jibin Zhan; Hui Zhang 001 (SIGCOMM, 2018)

Tracking Groups in Mobile Network Traces. - Kun Tu; Bruno Ribeiro 001; Ananthram Swami; Don Towsley (NetAI@SIGCOMM, 2018)

SBG-sketch: a self-balanced sketch for labeled-graph stream summarization. - Mohamed S. Hassan 002; Bruno Ribeiro 001; Walid G. Aref (SSDBM, 2018)

Graph Pattern Mining and Learning through User-defined Relations (Extended Version). - Carlos H. C. Teixeira; Leonardo Cotta; Bruno Ribeiro 001; Wagner Meira Jr. (CoRR, 2018)

Feedforward Neural Networks for Caching: Enough or Too Much? - Vladyslav Fedchenko; Giovanni Neglia; Bruno Ribeiro 001 (CoRR, 2018)

Selective harvesting over networks. - Fabricio Murai; Diogo Rennó; Bruno Ribeiro 001; Gisele L. Pappa; Don Towsley; Krista Gile (Data Min. Knowl. Discov., 2018)

Feedforward Neural Networks for Caching: n Enough or Too Much? - Vladyslav Fedchenko; Giovanni Neglia; Bruno Ribeiro 001 (SIGMETRICS Perform. Evaluation Rev., 2018)

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. - Ryan L. Murphy; Balasubramaniam Srinivasan 003; Vinayak A. Rao; Bruno Ribeiro 001 (ICLR (Poster), 2019)

Relational Pooling for Graph Representations. - Ryan L. Murphy; Balasubramaniam Srinivasan 003; Vinayak A. Rao; Bruno Ribeiro 001 (ICML, 2019)

GrAPL Keynote 2. - Bruno Ribeiro 001 (IPDPS Workshops, 2019)

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. - Changping Meng; Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (KDD, 2019)

Curated Pathways to Innovation: Personalized CS Education to Promote Diversity. - Natalie Linnell; Phil Gonsalves; Mayank Kakodkar; Vanessa Martinez; Tim Urdan; Bruno Ribeiro 001; Janice Zdankus (SIGCSE, 2019)

Are Graph Neural Networks Miscalibrated? - Leonardo Teixeira; Brian Jalaian; Bruno Ribeiro 001 (CoRR, 2019)

On the Equivalence between Node Embeddings and Structural Graph Representations. - Balasubramaniam Srinivasan 003; Bruno Ribeiro 001 (CoRR, 2019)

Deep Lifetime Clustering. - S. Chandra Mouli; Leonardo Teixeira; Jennifer Neville; Bruno Ribeiro 001 (CoRR, 2019)

Practical characterization of large networks using neighborhood information. - Pinghui Wang; Junzhou Zhao; Bruno Ribeiro 001; John C. S. Lui; Don Towsley; Xiaohong Guan (Knowl. Inf. Syst., 2019)

Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. - Fabricio Murai; Bruno Ribeiro 001; Don Towsley; Pinghui Wang (ACM Trans. Knowl. Discov. Data, 2019)

Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. - Jianfei Gao 001; Mohamed A. Zahran; Amit Sheoran; Sonia Fahmy; Bruno Ribeiro 001 (AAAI, 2020)

Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. - Huangyi Ge; Sze Yiu Chau; Bruno Ribeiro 001; Ninghui Li (CODASPY, 2020)

On the Equivalence between Positional Node Embeddings and Structural Graph Representations. - Balasubramaniam Srinivasan 003; Bruno Ribeiro 001 (ICLR, 2020)

Experience: towards automated customer issue resolution in cellular networks. - Amit Sheoran; Sonia Fahmy; Matthew Osinski; Chunyi Peng 001; Bruno Ribeiro 001; Jia Wang (MobiCom, 2020)

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. - Leonardo Cotta; Carlos H. C. Teixeira; Ananthram Swami; Bruno Ribeiro 001 (NeurIPS, 2020)

Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. - Panchapakesan C. Sruthi; Sanjay G. Rao; Bruno Ribeiro 001 (NetAI@SIGCOMM, 2020)

Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap. - Jiacheng Li; Ninghui Li; Bruno Ribeiro 001 (CoRR, 2020)

A Collective Learning Framework to Boost GNN Expressiveness. - Mengyue Hang; Jennifer Neville; Bruno Ribeiro 001 (CoRR, 2020)

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. - Mohsen Minaei; S. Chandra Mouli; Mainack Mondal; Bruno Ribeiro 001; Aniket Kate (CoRR, 2020)

Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation. - Carlos H. C. Teixeira; Mayank Kakodkar; Vinícius Vitor dos Santos Dias; Wagner Meira Jr.; Bruno Ribeiro 001 (CoRR, 2020)

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. - Mandana Saebi; Jian Xu 019; Lance M. Kaplan; Bruno Ribeiro 001; Nitesh V. Chawla (EPJ Data Sci., 2020)

On New Group Popularity Prediction in Event-Based Social Networks. - Guangyu Li; Yong Liu 013; Bruno Ribeiro 001; Hao Ding 006 (IEEE Trans. Netw. Sci. Eng., 2020)

Membership Inference Attacks and Defenses in Classification Models. - Jiacheng Li; Ninghui Li; Bruno Ribeiro 001 (CODASPY, 2021)

Neural Networks for Learning Counterfactual G-Invariances from Single Environments. - S. Chandra Mouli; Bruno Ribeiro 001 (ICLR, 2021)

Size-Invariant Graph Representations for Graph Classification Extrapolations. - Beatrice Bevilacqua; Yangze Zhou; Bruno Ribeiro 001 (ICML, 2021)

A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. - Mengyue Hang; Jennifer Neville; Bruno Ribeiro 001 (ICML, 2021)

Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. - Mohsen Minaei; S. Chandra Mouli; Mainack Mondal; Bruno Ribeiro 001; Aniket Kate (NDSS, 2021)

Reconstruction for Powerful Graph Representations. - Leonardo Cotta; Christopher Morris 001; Bruno Ribeiro 001 (NeurIPS, 2021)

Explaining classification performance and bias via network structure and sampling technique. - Lisette Espín-Noboa; Fariba Karimi 001; Bruno Ribeiro 001; Kristina Lerman; Claudia Wagner 001 (Appl. Netw. Sci., 2021)

On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions. - Jianfei Gao 001; Bruno Ribeiro 001 (CoRR, 2021)

Contextual Unsupervised Outlier Detection in Sequences. - Mohamed A. Zahran; Leonardo Teixeira; Vinayak A. Rao; Bruno Ribeiro 001 (CoRR, 2021)

Set Twister for Single-hop Node Classification. - Yangze Zhou; Vinayak A. Rao; Bruno Ribeiro 001 (CoRR, 2021)

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. - Wo Jae Lee; Kevin Xia 001; Nancy L. Denton; Bruno Ribeiro 001; John W. Sutherland (J. Intell. Manuf., 2021)

Xatu: Richer Neural Network Based Prediction for Video Streaming. - Yun Seong Nam; Jianfei Gao 001; Chandan Bothra; Ehab Ghabashneh; Sanjay G. Rao; Bruno Ribeiro 001; Jibin Zhan; Hui Zhang 001 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. - S. Chandra Mouli; Bruno Ribeiro 001 (ICLR, 2022)

On the Equivalence Between Temporal and Static Equivariant Graph Representations. - Jianfei Gao 001; Bruno Ribeiro 001 (ICML, 2022)

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. - Yangze Zhou; Gitta Kutyniok; Bruno Ribeiro 001 (NeurIPS, 2022)

Bias Challenges in Counterfactual Data Augmentation. - S. Chandra Mouli; Yangze Zhou; Bruno Ribeiro 001 (CoRR, 2022)

Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation. - Carlos H. C. Teixeira; Mayank Kakodkar; Vinícius Vitor dos Santos Dias; Wagner Meira Jr.; Bruno Ribeiro 001 (Data Min. Knowl. Discov., 2022)

Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil. - Xihui Wang; Ali Shakouri; Bruno Ribeiro 001; George T.-C. Chiu; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2023)

A Pro-Active Defense Framework for IoT Systems. - Elisa Bertino; Hyunwoo Lee 001; Mengdie Huang; Charalampos Katsis; Zilin Shen; Bruno Ribeiro 001; Daniel De Mello; Ashish Kundu (CIC, 2023)

Effective passive membership inference attacks in federated learning against overparameterized models. - Jiacheng Li; Ninghui Li; Bruno Ribeiro 001 (ICLR, 2023)

Veritas: Answering Causal Queries from Video Streaming Traces. - Chandan Bothra; Jianfei Gao 001; Sanjay G. Rao; Bruno Ribeiro 001 (SIGCOMM, 2023)

Causal Lifting and Link Prediction. - Leonardo Cotta; Beatrice Bevilacqua; Nesreen Ahmed; Bruno Ribeiro 001 (CoRR, 2023)

Double Permutation Equivariance for Knowledge Graph Completion. - Jianfei Gao 001; Yangze Zhou; Bruno Ribeiro 001 (CoRR, 2023)

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning. - S. Chandra Mouli; Muhammad Ashraful Alam; Bruno Ribeiro 001 (CoRR, 2023)

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. - Jincheng Zhou; Beatrice Bevilacqua; Bruno Ribeiro 001 (CoRR, 2023)

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. - Shirley Wu; Kaidi Cao; Bruno Ribeiro 001; James Zou 001; Jure Leskovec (CoRR, 2023)

Reducing classifier overconfidence against adversaries through graph algorithms. - Leonardo Teixeira; Brian Jalaian; Bruno Ribeiro 001 (Mach. Learn., 2023)

Efficient Subgraph GNNs by Learning Effective Selection Policies. - Beatrice Bevilacqua; Moshe Eliasof; Eli A. Meirom; Bruno Ribeiro 001; Haggai Maron (ICLR, 2024)

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. - S. Chandra Mouli; Muhammad Ashraful Alam; Bruno Ribeiro 001 (ICLR, 2024)

TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs. - Yucheng Zhang; Beatrice Bevilacqua; Mikhail Galkin 001; Bruno Ribeiro 001 (LoG, 2024)

A Foundation Model for Zero-shot Logical Query Reasoning. - Michael Galkin; Jincheng Zhou; Bruno Ribeiro 001; Jian Tang 005; Zhaocheng Zhu (NeurIPS, 2024)

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. - Krishna Sri Ipsit Mantri; Xinzhi Wang; Carola-Bibiane Schönlieb; Bruno Ribeiro 001; Beatrice Bevilacqua; Moshe Eliasof (NeurIPS, 2024)

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. - Shirley Wu; Kaidi Cao; Bruno Ribeiro 001; James Y. Zou; Jure Leskovec (NeurIPS, 2024)

Transferable Neural WAN TE for Changing Topologies. - Abd AlRhman AlQiam; Yuanjun Yao; Zhaodong Wang; Satyajeet Singh Ahuja; Ying Zhang 022; Sanjay G. Rao; Bruno Ribeiro 001; Mohit Tawarmalani (SIGCOMM, 2024)

Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. - Mai Elkady; Thu Bui; Bruno Ribeiro 001; David I. Inouye (UAI, 2024)

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. - Jiacheng Li; Ninghui Li; Bruno Ribeiro 001 (USENIX Security Symposium, 2024)

Zero-shot Logical Query Reasoning on any Knowledge Graph. - Mikhail Galkin 001; Jincheng Zhou; Bruno F. Ribeiro; Jian Tang 005; Zhaocheng Zhu (CoRR, 2024)

Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders. - Parjanya Prashant; Seyedeh Baharan Khatami; Bruno Ribeiro 001; Babak Salimi (CoRR, 2024)

Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. - Parjanya Prajakta Prashant; Seyedeh Baharan Khatami; Bruno Ribeiro 001; Babak Salimi (AISTATS, 2025)

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. - Krishna Sri Ipsit Mantri; Carola-Bibiane Schönlieb; Bruno Ribeiro 001; Chaim Baskin; Moshe Eliasof (CVPR, 2025)

Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. - Beatrice Bevilacqua; Joshua Robinson 001; Jure Leskovec; Bruno Ribeiro 001 (ICLR, 2025)

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. - Kaiyuan Zhang 002; Siyuan Cheng 005; Guangyu Shen; Bruno Ribeiro 001; Shengwei An; Pin-Yu Chen; Xiangyu Zhang 001; Ninghui Li (NDSS, 2025)

Constraint-based Causal Discovery from a Collection of Conditioning Sets. - Kenneth Lee; Bruno Ribeiro 001; Murat Kocaoglu (UAI, 2025)

On the Effectiveness of Random Weights in Graph Neural Networks. - Thu Bui; Carola-Bibiane Schönlieb; Bruno Ribeiro 001; Beatrice Bevilacqua; Moshe Eliasof (CoRR, 2025)

Boosting Relational Deep Learning with Pretrained Tabular Models. - Veronica Lachi; Antonio Longa; Beatrice Bevilacqua; Bruno Lepri; Andrea Passerini; Bruno Ribeiro 001 (CoRR, 2025)

Cascading and Proxy Membership Inference Attacks. - Yuntao Du 002; Jiacheng Li; Yuetian Chen; Kaiyuan Zhang 002; Zhizhen Yuan; Hanshen Xiao; Bruno Ribeiro 001; Ninghui Li (CoRR, 2025)