Beatrice Bevilacqua
11 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (18) 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🔬 Deep Specialist (10)
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Triple Crown
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Century Club · Bronze
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Keyword Collector
(58)
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Unstoppable · Bronze
Venues
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Research topics
Deep Learning
(10)
Architectures
(10)
Machine Learning
(9)
Techniques
(6)
Core Methods
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Foundations
(1)
Learning Types · Deep Learning
(1)
Representation
(1)
Keywords
graph neural network
(8)
graph representation
(3)
message passing
(3)
weisfeiler-lehman test
(2)
out-of-distribution generalization
(2)
graph classification
(2)
positional encoding
(2)
batch normalization
(1)
distribution shift
(1)
graph representation learning
(1)
random feature
(1)
attention mechanism
(1)
statistical dependencies
(1)
spectral analysis
(1)
node embedding
(1)
spectral method
(1)
expressive power
(1)
graph transformer
(1)
policy learning
(1)
self-supervised learning
(1)
Papers
Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
ICLR 2025
Zero-Shot Generalization of GNNs over Distinct Attribute Domains
ICML 2025
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
NeurIPS 2024
Efficient Subgraph GNNs by Learning Effective Selection Policies
ICLR 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
NeurIPS 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
ICML 2024
Graph Positional Encoding via Random Feature Propagation
ICML 2023
Neural Algorithmic Reasoning with Causal Regularisation
ICML 2023
Equivariant Subgraph Aggregation Networks
ICLR 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
NeurIPS 2022
Size-Invariant Graph Representations for Graph Classification Extrapolations
ICML 2021