Prudencio Tossou

3 papers · 2021–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Dominique Beaini (3) Vincent Létourneau (1) Guillaume Rabusseau (1) Luis Müller (1) Reihaneh Rabbany (1) Jama Hussein Mohamud (1) Maciej Sypetkowski (1) Christopher Morris (1) Cristian Gabellini (1) Dominic Masters (1)

Research topics

Deep Learning (3) Artificial Intelligence (2) Machine Learning (2) Architectures (2) Core Methods (2) Learning Paradigms (2) Techniques (2) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

transfer learning (2) graph neural network (2) mutual information (1) molecular machine learning (1) graph transformer (1) foundation model (1) graph machine learning (1) self-supervised pretraining (1) node feature (1) property prediction (1) geometric learning (1) molecular property prediction (1) spectral attention (1) 3d molecular structure (1) learned positional encoding (1) representation learning (1) laplacian spectrum (1) multi-task learning (1)

Papers

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 3D Infomax improves GNNs for Molecular Property Prediction ICML 2022 Rethinking Graph Transformers with Spectral Attention NeurIPS 2021