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   Articles with "aware graph" as a keyword



NGANet: Neighborhood-aware Graph Aggregation Network for 6D pose estimation in robotic grasping

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recommendations! Published in 2025 at "Robotica"

DOI: 10.1017/s0263574725102130

Abstract: Abstract 6D pose estimation can perceive an object’s position and orientation in 3D space, playing a critical role in robotic grasping. However, traditional sparse keypoint-based methods generally rely on a limited number of feature points,… read more here.

Keywords: graph aggregation; aware graph; pose estimation; robotic grasping ... See more keywords
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Haplotype-aware graph indexes

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recommendations! Published in 2020 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btz575

Abstract: Abstract Motivation The variation graph toolkit (VG) represents genetic variation as a graph. Although each path in the graph is a potential haplotype, most paths are non-biological, unlikely recombinations of true haplotypes. Results We augment… read more here.

Keywords: haplotype aware; https github; github com; haplotype ... See more keywords

Communication-Aware Graph Neural Network for Multi-Agent Reinforcement Learning

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3554736

Abstract: Multi-agent reinforcement learning (MARL) requires effective communication strategies to solve complex control tasks over uncertain communication channels. This paper explores a communication-aware graph neural network (GNN) approach for MARL, where the interactions between agents are… read more here.

Keywords: aware graph; multi agent; agent reinforcement; reinforcement learning ... See more keywords

Sign-Aware Graph Contrastive Learning for Drug Repositioning

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recommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3571801

Abstract: Drug repositioning, which identifies new therapeutic potential of approved drugs, is pivotal in accelerating drug discovery. Recently, growing efforts are devoted to applying graph neural networks (GNNs) for effectively modeling drug-disease associations (DDAs). However, current… read more here.

Keywords: drug repositioning; sign aware; aware graph; drug ... See more keywords

CGATracker: Correlation-Aware Graph Alignment for Referring Multi-Object Tracking

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3576341

Abstract: Referring multi-object tracking (RMOT) aims to identify specific targets based on sentence descriptions. To enhance multi-modal learning, previous works typically rely on a simple fusion module at early or late stages. However, those methods frequently… read more here.

Keywords: referring multi; aware graph; correlation aware; alignment ... See more keywords

TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation

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recommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2025.3538706

Abstract: Sequential recommendation systems aim to predict the future behaviors of users based on their historical interactions. Despite the success of neural architectures like Transformer and Graph Neural Networks, these models often struggle with the inherent… read more here.

Keywords: aware graph; sequential recommendation; temporal aware; contrastive learning ... See more keywords

LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition

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recommendations! Published in 2022 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3117062

Abstract: As an intersection of artificial intelligence and human communication analysis, Emotion Recognition in Conversation (ERC) has attracted much research attention in recent years. Existing studies, however, are limited in adequately exploiting latent relations among the… read more here.

Keywords: network; relation aware; aware graph; graph ... See more keywords

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3213799

Abstract: Graph Convolutional Networks (GCNs) derive inspiration from recent advances in computer vision, by stacking layers of first-order filters followed by a nonlinear activation function to learn entity or graph embeddings. Although GCNs have been shown… read more here.

Keywords: information; network; aware graph; information networks ... See more keywords

Topology-Aware Graph Pooling Networks

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recommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2021.3062794

Abstract: Pooling operations have shown to be effective on computer vision and natural language processing tasks. One challenge of performing pooling operations on graph data is the lack of locality that is not well-defined on graphs.… read more here.

Keywords: topology aware; graph topology; topology; voting ... See more keywords

Irregularity-Aware Graph Fourier Transforms

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recommendations! Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2018.2870386

Abstract: In this paper, we present a novel generalization of the graph Fourier transform (GFT). Our approach is based on separately considering the definitions of signal energy and signal variation, leading to several possible orthonormal GFTs.… read more here.

Keywords: graph fourier; graph; aware graph; irregularity aware ... See more keywords

Discourse-Aware Graph Networks for Textual Logical Reasoning

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recommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.48550/arxiv.2207.01450

Abstract: Textual logical reasoning, especially question-answering (QA) tasks with logical reasoning, requires awareness of particular logical structures. The passage-level logical relations represent entailment or contradiction between propositional units (e.g., a concluding sentence). However, such structures are… read more here.

Keywords: discourse aware; aware graph; logical reasoning; textual logical ... See more keywords