Results 31 to 40 of about 2,836,177 (344)
Multi-Behavior Recommendation with Cascading Graph Convolution Networks [PDF]
The Web Conference, 2023 Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users’ potential interactions on the target behavior (e.g., buy), is regarded as an effective way to alleviate the data sparsity or cold-start issues
Zhiyong Cheng +5 more
semanticscholar +1 more source
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification [PDF]
The Web Conference, 2023 Encrypted traffic classification is receiving widespread attention from researchers and industrial companies. However, the existing methods only extract flow-level features, failing to handle short flows because of unreliable statistical properties, or ...
Haozhen Zhang +6 more
semanticscholar +1 more source
A Graph Attention Model for Dictionary-Guided Named Entity Recognition
IEEE Access, 2020 The lack of human annotations has been one of the main obstacles for neural named entity recognition in low-resource domains. To address this problem, there have been many efforts on automatically generating silver annotations according to domain ...
Yinxia Lou +3 more
doaj +1 more source
Uniform Single Valued Neutrosophic Graphs [PDF]
Neutrosophic Sets and Systems, 2017 In this paper, we propose a new concept named the uniform single valued neutrosophic graph. An illustrative example and some properties are examined. Next, we develop an algorithmic approach for computing the complement of the single valued neutrosophic ...
S. Broumi +6 more
doaj +1 more source
A knowledge graph based question answering method for medical domain [PDF]
PeerJ Computer Science, 2021 Question answering (QA) is a hot field of research in Natural Language Processing. A big challenge in this field is to answer questions from knowledge-dependable domain.
Xiaofeng Huang +4 more
doaj +2 more sources
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large language models (LLMs) have achieved remarkable performance in natural language understanding and generation tasks. However, they often suffer from limitations such as difficulty in incorporating new knowledge, generating hallucinations, and ...
Yilin Wen, Zifeng Wang, Jimeng Sun
semanticscholar +1 more source
Introducing New Exponential Zagreb Indices for Graphs
Journal of Mathematics, 2021 New graph invariants, named exponential Zagreb indices, are introduced for more than one type of Zagreb index. After that, in terms of exponential Zagreb indices, lists on equality results over special graphs are presented as well as some new bounds on ...
Nihat Akgunes, Busra Aydin
doaj +1 more source
AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Artefacts that differentiate spoofed from bona-fide utterances can reside in specific temporal or spectral intervals. Their reliable detection usually depends upon computationally demanding ensemble systems where each subsystem is tuned to some specific ...
Jee-weon Jung +7 more
semanticscholar +1 more source
Computation of Resolvability Parameters for Benzenoid Hammer Graph
Journal of Mathematics, 2022 A representation of each vertex of a network into distance-based arbitrary tuple form, adding the condition of uniqueness of each vertex with reference to some settled vertices. Such settled vertices form a set known as resolving set.
Ali Ahmad, Al-Nashri Al-Hossain Ahmad
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Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning [PDF]
Knowledge Discovery and Data Mining, 2021 Heterogeneous graph neural networks (HGNNs) as an emerging technique have shown superior capacity of dealing with heterogeneous information network (HIN).
Xiao Wang, Nian Liu, Hui-jun Han, C. Shi
semanticscholar +1 more source