Dominique Beaini
13 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (14)
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Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
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Triple Crown
👥
Mega-Team
(34)
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Keyword Collector
(54)
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Prolific Year
(6)
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Century Club
(13)
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Unstoppable
(5)
Conferences
NIPS (8)
ICML (3)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(7)
message passing
(3)
foundation model
(3)
graph transformer
(3)
drug discovery
(2)
flow matching
(1)
attention mechanism
(1)
vision transformer
(1)
benchmark dataset
(1)
weisfeiler-lehman test
(1)
self-supervised learning
(1)
quantum chemistry
(1)
mutual information
(1)
molecular graph
(1)
graph isomorphism
(1)
transfer learning
(1)
positional encoding
(1)
node feature
(1)
graph convolution
(1)
contrastive learning
(1)
Papers
Graph Positional and Structural Encoder
ICML 2024
On the Scalability of GNNs for Molecular Graphs
NIPS 2024
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
NIPS 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
NIPS 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
CVPR 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Generating QM1B with PySCF$_{\text{IPU}}$
NIPS 2023
Recipe for a General, Powerful, Scalable Graph Transformer
NIPS 2022
Long Range Graph Benchmark
NIPS 2022
3D Infomax improves GNNs for Molecular Property Prediction
ICML 2022
Directional Graph Networks
ICML 2021
Rethinking Graph Transformers with Spectral Attention
NIPS 2021
Principal Neighbourhood Aggregation for Graph Nets
NIPS 2020