Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Bruno Ribeiro — most-cited papers & profile · Large Language Models
← authors
·
overview
Bruno Ribeiro
16
papers ·
78
citations ·
26
h-index
Purdue University West Lafayette · Instituto de Telecomunicações · Fundação Oswaldo Cruz · University of Aveiro
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Relational Pooling for Graph Representations
2019 · 38 citations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
2019 · 24 citations
Are Graph Neural Networks Miscalibrated?
2019 · 7 citations
Reconstruction for Powerful Graph Representations
2021 · 4 citations
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
2025 · 3 citations
Unsupervised Joint $k$-node Graph Representations with Compositional Energy-Based Models
2020 · 1 citations
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
2024 · 1 citations
Imitative Membership Inference Attack
2025
Cascading and Proxy Membership Inference Attacks
2025
On the Effectiveness of Random Weights in Graph Neural Networks
2025
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets
2017
Membership Inference Attacks and Defenses in Classification Models
2020
A Collective Learning Framework to Boost GNN Expressiveness
2020
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
2023
Top co-authors
Ashish Kundu
· 1
Charles Fleming
· 1
Kaiyuan Zhang
· 1
Ninghui Li
· 1
Yuetian Chen
· 1
Yuntao Du
· 1
Topics
GNN Architectures
Theory & Expressivity
Privacy
Adversarial ML
Self-Supervised & Contrastive
Federated Learning
cs.LG
stat.ML
Training & Sampling
Vulnerability Detection