Dominique Beaini
13 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 👥 Mega-Team · Squad
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Triple Crown
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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graph neural network
(7)
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graph transformer
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message passing
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(2)
transfer learning
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structural encoding
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drug discovery
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attention mechanism
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molecular machine learning
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self-supervised learning
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weisfeiler-lehman test
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graph machine learning
(1)
mutual information
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graph isomorphism
(1)
molecular graph
(1)
Papers
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
NeurIPS 2024
Graph Positional and Structural Encoder
ICML 2024
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
NeurIPS 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
CVPR 2024
On the Scalability of GNNs for Molecular Graphs
NeurIPS 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Generating QM1B with PySCF_IPU
NeurIPS 2023
3D Infomax improves GNNs for Molecular Property Prediction
ICML 2022
Long Range Graph Benchmark
NeurIPS 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NeurIPS 2022
Directional Graph Networks
ICML 2021
Rethinking Graph Transformers with Spectral Attention
NeurIPS 2021
Principal Neighbourhood Aggregation for Graph Nets
NeurIPS 2020