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Workshop
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Exploring the Properties and Structure of Real Knowledge Graphs across Scientific Disciplines
Nedelina Teneva · Estevam Hruschka
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Workshop
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AnisoGNN: physics-informed graph neural networks that generalize to anisotropic properties of polycrystals
Guangyu Hu · Marat Latypov
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Workshop
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Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sagar Srinivas Sakhinana · Venkataramana Runkana
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Workshop
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Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs
Nedelina Teneva · Estevam Hruschka
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Workshop
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Semi-Supervised Graph Imbalanced Regression
Gang Liu · Tong Zhao · Eric Inae · Tengfei Luo · Meng Jiang
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Workshop
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Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sagar Srinivas Sakhinana · Venkataramana Runkana
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Workshop
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Fri 7:50
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Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions
Federico Ottomano · Giovanni De Felice · Rahul Savani · Vladimir Gusev · Matthew Rosseinsky
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Poster
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Tue 15:15
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Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao · Mangpo Phothilimthana · Sami Abu-El-Haija · Dustin Zelle · Yanqi Zhou · Charith Mendis · Jure Leskovec · Bryan Perozzi
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Workshop
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Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae · Gang Liu · Meng Jiang
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Workshop
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MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
Akihiro Kishimoto · Hiroshi Kajino · Hirose Masataka · Junta Fuchiwaki · Indra Priyadarsini S · Lisa Hamada · Hajime Shinohara · Daiju Nakano · Seiji Takeda
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