Bryan Perozzi
20 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(13)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(83)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(14)
Architectures
(14)
Artificial Intelligence
(8)
Application Areas
(8)
Core Methods
(7)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Learning Paradigms
(3)
Knowledge & Reasoning
(2)
Learning Types Β· Deep Learning
(2)
Representation
(2)
Techniques
(2)
Data Science & Analytics
(1)
Keywords
graph neural network
(12)
representation learning
(4)
semi-supervised learning
(4)
node embedding
(3)
node classification
(3)
graph representation learning
(3)
graph embedding
(3)
large language model
(2)
transfer learning
(2)
random walk
(2)
link prediction
(1)
graph learning
(1)
attention mechanism
(1)
knowledge transfer
(1)
scalable learning
(1)
zero-shot learning
(1)
differential privacy
(1)
graph clustering
(1)
graph representation
(1)
domain adaptation
(1)
Papers
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
ICML 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
ICML 2025
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
ICLR 2025
Talk like a Graph: Encoding Graphs for Large Language Models
ICLR 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
NeurIPS 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms
NeurIPS 2024
Graph Clustering with Graph Neural Networks
JMLR 2023
Graph Generative Model for Benchmarking Graph Neural Networks
ICML 2023
Learning Large Graph Property Prediction via Graph Segment Training
NeurIPS 2023
SubMix: Learning to Mix Graph Sampling Heuristics
UAI 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
NeurIPS 2023
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
NeurIPS 2022
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
JMLR 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
NeurIPS 2022
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
ICLR 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
NeurIPS 2021
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
ICML 2019
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
UAI 2019
Watch Your Step: Learning Node Embeddings via Graph Attention
NeurIPS 2018
Polyglot: Distributed Word Representations for Multilingual NLP
CoNLL 2013