Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3270739
Abstract: Predicting the multimodal future motions of neighboring agents is essential for an autonomous vehicle to navigate complex scenarios. It is challenging as the motion of an agent is affected by the complex interaction among itself,… read more here.
Keywords: map adaptive; future motions; hierarchical graph; graph ... See more keywords
Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3177647
Abstract: Recently, deep dictionary learning (DDL) has aroused attention due to its abilities of learning multiple different dictionaries and extracting multi-level abstract feature representations for samples. It has been applied to many intelligent recognition tasks, such… read more here.
Keywords: hierarchical graph; dictionary learning; deep collaborative; collaborative dictionary ... See more keywords
A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3273236
Abstract: Pathological primary tumor (pT) stage focuses on the infiltration degree of the primary tumor to surrounding tissues, which relates to the prognosis and treatment choices. The pT staging relies on the field-of-views from multiple magnifications… read more here.
Keywords: structure aware; hierarchical graph; instance learning; graph based ... See more keywords
Semi-Supervised Hierarchical Graph Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3203703
Abstract: Node classification and graph classification are two graph learning problems that predict the class label of a node and the class label of a graph respectively. A node of a graph usually represents a real-world… read more here.
Keywords: network; semi supervised; graph; hierarchical graph ... See more keywords
Tooth Alignment Network Based on Landmark Constraints and Hierarchical Graph Structure.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3218028
Abstract: Automatic tooth alignment target prediction is vital in shortening the planning time of orthodontic treatments and aligner designs. Generally, the quality of alignment targets greatly depends on the experience and ability of dentists and has… read more here.
Keywords: hierarchical graph; network; landmark constraints; tooth alignment ... See more keywords
Learning Physics with a Hierarchical Graph Network
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14643
Abstract: We propose a hierarchical graph for learning physics and a novel way to handle obstacles. The finest level of the graph consist of the particles itself. Coarser levels consist of the cells of sparse grids… read more here.
Keywords: physics hierarchical; network; physics; learning physics ... See more keywords
Hierarchical Graph Representation of Pharmacophore Models
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2020.599059
Abstract: For the investigation of protein-ligand interaction patterns, the current accessibility of a wide variety of sampling methods allows quick access to large-scale data. The main example is the intensive use of molecular dynamics simulations applied… read more here.
Keywords: representation pharmacophore; graph representation; hierarchical graph; pharmacophore models ... See more keywords
BHGAttN: A Feature-Enhanced Hierarchical Graph Attention Network for Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24111691
Abstract: Recently, with the rise of deep learning, text classification techniques have developed rapidly. However, the existing work usually takes the entire text as the modeling object and pays less attention to the hierarchical structure within… read more here.
Keywords: attention network; graph; hierarchical graph; attention ... See more keywords