Zobrazeno 1 - 10
of 823
pro vyhledávání: '"Yin Nan"'
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111577- (2024)
Freshwater snails are a crucial benthic animal group that plays a pivotal role in algae regulation and ecosystems while serving as intermediate hosts for certain parasites. Environmental DNA (eDNA) technology offers numerous advantages for biodiversi
Externí odkaz:
https://doaj.org/article/ca0d79e71e1d46fe9faab01030ad8389
Graph Neural Networks (GNNs) with equivariant properties have achieved significant success in modeling complex dynamic systems and molecular properties. However, their expressiveness ability is limited by: (1) Existing methods often overlook the over
Externí odkaz:
http://arxiv.org/abs/2411.10000
Spiking Graph Networks (SGNs) have garnered significant attraction from both researchers and industry due to their ability to address energy consumption challenges in graph classification. However, SGNs are only effective for in-distribution data and
Externí odkaz:
http://arxiv.org/abs/2410.06883
In modern digital environments, users frequently express opinions on contentious topics, providing a wealth of information on prevailing attitudes. The systematic analysis of these opinions offers valuable insights for decision-making in various sect
Externí odkaz:
http://arxiv.org/abs/2409.15690
Graph neural networks (GNNs) have achieved impressive impressions for graph-related tasks. However, most GNNs are primarily studied under the cases of signal domain with supervised training, which requires abundant task-specific labels and is difficu
Externí odkaz:
http://arxiv.org/abs/2408.09189
The scaling law, which involves the brute-force expansion of training datasets and learnable parameters, has become a prevalent strategy for developing more robust learning models. However, due to bottlenecks in data, computation, and trust, the sust
Externí odkaz:
http://arxiv.org/abs/2407.00478
The task of multi-modal emotion recognition in conversation (MERC) aims to analyze the genuine emotional state of each utterance based on the multi-modal information in the conversation, which is crucial for conversation understanding. Existing metho
Externí odkaz:
http://arxiv.org/abs/2407.00119
Autor:
Yin Nan
Publikováno v:
Open Physics, Vol 17, Iss 1, Pp 966-974 (2019)
With the rapid development of e-commerce, collaborative filtering recommendation system has been widely used in various network platforms. Using recommendation system to accurately predict customers’ preferences for goods can solve the problem of i
Externí odkaz:
https://doaj.org/article/285ea125293f4927bae327444702e2b3
Efficiently capturing consistent and complementary semantic features in a multimodal conversation context is crucial for Multimodal Emotion Recognition in Conversation (MERC). Existing methods mainly use graph structures to model dialogue context sem
Externí odkaz:
http://arxiv.org/abs/2404.17862
Multi-modal Emotion Recognition in Conversation (MERC) has received considerable attention in various fields, e.g., human-computer interaction and recommendation systems. Most existing works perform feature disentanglement and fusion to extract emoti
Externí odkaz:
http://arxiv.org/abs/2404.17858