Finextra

The Danish Black Swan and AML Tech - Journalists, Entity Resolution and Knowledge Graphs

What makes the Danish TV series Black Swan (not to be confused with Nicholas Nassim Taleb’s influential 2007 book, or the 2010 dark horror starring Natalie Portman) so relevant to our world, when ...
C&EN

SFMMoE: A Semi-Empirical Descriptor-Augmented Multi-Expert Graph Neural Network for Accurate Prediction of Singlet Fission Properties

Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...
IEEE

Learning from Graph-Graph Relationship: A New Perspective On Graph-level Anomaly Detection

Abstract: Graph-level anomaly detection (GLAD) aims to distinguish anomalous graphs that exhibit significant deviations from others. The graph-graph relationship, revealing the deviation and ...
GitHub

Ability to jump to a commit from the log graph window

Is your feature request related to a problem? Please describe. Sometimes I want to be able to jump to a view the diffs of a commit in the log graph (which is visible on the right when my cursor is on ...
Scientific Research Publishing

Kipf, T.N. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907.

ABSTRACT: The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy ...
Scientific Research Publishing

Chong, Y., Ding, Y., Yan, Q. and Pan, S. (2020) Graph-Based Semi-Supervised Learning: A Review. Neurocomputing, 408, 216-230.

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...