Summary of Improving Generalisability Of 3d Binding Affinity Models in Low Data Regimes, by Julia Buhmann et al.
Improving generalisability of 3D binding affinity models in low data regimesby Julia Buhmann, Ward Haddadin,…
Summary of Cf-go-net: a Universal Distribution Learner Via Characteristic Function Networks with Graph Optimizers, by Zeyang Yu et al.
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizersby Zeyang Yu, Shengxi…
Summary of Graph Neural Network-state Predictive Information Bottleneck (gnn-spib) Approach For Learning Molecular Thermodynamics and Kinetics, by Ziyue Zou et al.
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kineticsby Ziyue…
Summary of Multi-grid Graph Neural Networks with Self-attention For Computational Mechanics, by Paul Garnier and Jonathan Viquerat and Elie Hachem
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanicsby Paul Garnier, Jonathan Viquerat, Elie HachemFirst…
Summary of Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study, by Nikolai Merkel et al.
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Studyby Nikolai Merkel, Pierre…
Summary of Leiden-fusion Partitioning Method For Effective Distributed Training Of Graph Embeddings, by Yuhe Bai et al.
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddingsby Yuhe Bai, Camelia Constantin, Hubert…
Summary of Generalizability Of Graph Neural Network Force Fields For Predicting Solid-state Properties, by Shaswat Mohanty et al.
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Propertiesby Shaswat Mohanty, Yifan Wang,…
Summary of Deep Graph Anomaly Detection: a Survey and New Perspectives, by Hezhe Qiao et al.
Deep Graph Anomaly Detection: A Survey and New Perspectivesby Hezhe Qiao, Hanghang Tong, Bo An,…
Summary of Predicting Building Types and Functions at Transnational Scale, by Jonas Fill et al.
Predicting building types and functions at transnational scaleby Jonas Fill, Michael Eichelbeck, Michael EbnerFirst submitted…
Summary of Molecular Graph Representation Learning Via Structural Similarity Information, by Chengyu Yao et al.
Molecular Graph Representation Learning via Structural Similarity Informationby Chengyu Yao, Hong Huang, Hang Gao, Fengge…