Results 171 to 180 of about 1,903,201 (339)

MGATs: Motif-Based Graph Attention Networks

Mathematics
In recent years, graph convolutional neural networks (GCNs) have become a popular research topic due to their outstanding performance in various complex network data mining tasks.
Jinfang Sheng, Yufeng Zhang, Bin Wang, Yaoxing Chang   +3 more
doaj   +1 more source

DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training [PDF]

, 2023
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna   +4 more
openalex   +1 more source

Non-convolutional graph neural networks.

Advances in Neural Information Processing Systems 37
Rethink convolution-based graph neural networks (GNN) -- they characteristically suffer from limited expressiveness, over-smoothing, and over-squashing, and require specialized sparse kernels for efficient computation. Here, we design a simple graph learning module entirely free of convolution operators, coined random walk with unifying memory (RUM ...
Wang, Yuanqing, Cho, Kyunghyun
openaire   +2 more sources

Kidney Organoids in Drug Development: Integrating Technological Advances and Standardization for Effective Implementation

Advanced Healthcare Materials, EarlyView.
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney, Silvia M. Mihăilă, Lorenzo Moroni, Carlos Mota   +3 more
wiley   +1 more source

siRNA Delivery via Cross‐Linked Gelatin Microparticles Enables Targeted Modulation of Osteogenic‐Vascular Cross‐Talk: An Advanced Human 3D in Vitro Test System for Therapeutic siRNA

Advanced Healthcare Materials, EarlyView.
Osteogenic‐angiogenic cross‐talk is a vital prerequisite for vascularized bone regeneration. In this study, we investigated the effects of siRNA‐mediated silencing of two inhibitory proteins, Chordin and WWP‐1, via CaP‐NP‐loaded gelatin microparticles in osteogenically differentiated microtissues.
Franziska Mitrach, Jonas Kubat, Stefan Simm, Alexandra H. Springwald, Burak Demir, Anton Liebezeit, Michael C. Hacker, Michaela Schulz‐Siegmund   +7 more
wiley   +1 more source

Graph rules for recurrent neural network dynamics: extended version. [PDF]

, 2023
Carina Curto, Katherine Morrison
openalex  

Federated Learning of Molecular Properties With Graph Neural Networks in a Heterogeneous Setting

, 2022
Wei Zhu, Andrew Dickson White, Jiebo Luo
openalex   +1 more source

Debiased Graph Neural Networks with Agnostic Label Selection Bias [PDF]

, 2022
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang   +5 more
openalex   +1 more source

Thermal Processing Creates Water‐Stable PEDOT:PSS Films for Bioelectronics

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
Instead of using chemical cross–linkers, it is shown that PEDOT:PSS thin films for bioelectronics become water‐stable after a simple heat treatment. The heat treatment is compatible with a range of rigid and elastomeric substrates and films are stable in vivo for >20 days.
Siddharth Doshi, Margaux O. A. Forner, Pingyu Wang, Salim El Hadwe, Amy T. Jin, Gerwin Dijk, Kenneth Brinson, Juhwan Lim, Antonio Dominguez‐Alfaro, Carina Yi Jing Lim, Alberto Salleo, Damiano G. Barone, Guosong Hong, Mark L. Brongersma, Nicholas A. Melosh, George G. Malliaras, Scott T. Keene   +16 more
wiley   +1 more source

Transferable surrogate models based on inductive biases of graph neural networks for water distribution systems

, 2022
Bulat Kerimov, Franz Tscheikner-Gratl, David Steffelbauer   +2 more
openalex   +1 more source