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Workshop
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Deep Interactions for Multimodal Molecular Property Prediction
Patrick Soga · Zhenyu Lei · Camille Bilodeau · Jundong Li
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Workshop
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Multi-modal cascade feature transfer for polymer property prediction
Kiichi Obuchi · YUTA YAHAGI · Kota Matsui · Kiyohiko Toyama · Shukichi Tanaka
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Poster
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Thu 16:30
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Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
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Poster
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Thu 16:30
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Instructor-inspired Machine Learning for Robust Molecular Property Prediction
Fang Wu · Shuting Jin · Siyuan Li · Stan Z. Li
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Poster
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Wed 16:30
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Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang · Qiang Liu · Shaozhen Liu · Xin Sun · Shu Wu · Liang Wang
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Affinity Event
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
Liang Zeng
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Workshop
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Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu · Artem Moskalev · Tommaso Mansi · Mangal Prakash · Rui Liao
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Affinity Event
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Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals
Mrigi Munjal · Jaewan Lee · Changyoung Park · Sehui Han
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Workshop
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Homomorphism Counts as Structural Encodings for Molecular Property Prediction
Emily Jin · Linus Bao · Matthias Lanzinger · Ismail Ceylan · Michael Bronstein
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Workshop
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CLOUD: A Scalable Scientific Foundation Model for Crystal Representation Learning
Changwen Xu · Zhu · Venkatasubramanian Viswanathan
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Workshop
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A Large Encoder-Decoder Polymer-Based Foundation Model
Eduardo Soares · Nathaniel Park · Emilio Vital Brazil · Victor Yukio Shirasuna
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