graph neural networkinterpretabilitymulti-modalitymulti-paradigmsex differencesBackground: A fundamental grasp of the variability observed in healthy individuals holds paramount importance in the investigation of neuropsychiatric conditions characterized by sex-related phenotypic distinctions. Functional magnetic ...
symmetry n-body-simulation egnn equivariant-neural-networks segnn nequip Resources Readme License CC-BY-4.0 license Activity Stars 26 stars Watchers 4 watching Forks 3 forks Report repository Contributors 3 smsharma Siddharth Mishra-Sharma florpi Carolina Cuesta julballa Julia Balla ...
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt. "History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting". IJCAI 2024. paper (DIFT) Yang Liu, Xiaobin Tian, Zequn Sun, Wei Hu. "Finetuning Generative Large Language Mo...
The Graph Neural Network (GNN) is first proposed by [35], which is a powerful method for handling the non-Euclidean data. Pre- vious works have explored different graph structures (e.g. directed graph [15], heterogeneous graph [62, 47] ) and ag- gregation...
Y. A deep learning approach for classifying vulnerability descriptions using self attention based neural network. J. Netw. Syst. Manag. 30, 9 (2021). Article Google Scholar Sobania, D., Briesch, M., Hanna, C. & Petke, J. An analysis of the automatic bug fixing performance of ChatGPT...
In Advances in neural information process- ing systems, pages 2171–2180, 2017. 2, 3, 5, 6, 7 [40] Bryan A Plummer, Arun Mallya, Christopher M Cervantes, Julia Hockenmaier, and Svetlana Lazebnik. Phrase local- ization and visual relationship detection with comprehensive image-language cues...
(including data loading, pre-compilation of julia code, etc.) and training time (restricted to the actual training computation) in seconds full size image conclusions in this work, we proposed an attributed network embedding method based on the combination of graph convolutional networks and ...
"julia.h.24@gmail.com":(), "franklin.b@gibson.biz":(), "4kelly@yahoo.com":(), "steven.web@johnson.com":(), "Jessica_Torres@morris.com":(), "brettglenn@gmail.com":(), "veronica.j@yahoo.com":(), "steven@phelps-craig.info":(), ...
S. Conservation laws in a neural network architecture: enforcing the atom balance of a Julia-based photochemical model (v0. 2.0). Geosci. Model Dev. 15, 3417–3431 (2022). Google Scholar Jacobson, Z. M. Fundamentals of Atmospheric Modeling, 2nd Edition. (Cambridge University Press, 2005)...
of grad-CAMs. Specifically, for some GO terms related to binding, grad-CAMs do not necessarily identify binding residues/regions; instead, they identify regions that are conserved among the sequences annotated with the same function. This can be explained with the fact that any neural network, ...