most citedMultivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis

40 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation

Kun Peng, Cong Cao, Hao Peng +5

Current Emotion Recognition in Conversation (ERC) research follows a closed-domain assumption. However, there is no clear consensus on emotion classification in psychology, which p…

cs.CL2025

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning

Kun Peng, Cong Cao, Hao Peng +5

Dialogues Aspect-based Sentiment Quadruple Extraction (DiaASQ) aims to extract all target-aspect-opinion-sentiment quadruples from a given multi-round, multi-participant dialogue.…

cs.CL2025★ 1 cited

Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis

Xiang Huang, Hao Peng, Shuo Sun +3

Aspect-based Sentiment Analysis (ABSA) is the task aimed at predicting the sentiment polarity of aspect words within sentences. Recently, incorporating graph neural networks (GNNs)…

cs.LG2024★ 40 cited

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis

Zhe Liu, Xiang Huang, Jingyun Zhang +3

Unsupervised anomaly detection in time series is essential in industrial applications, as it significantly reduces the need for manual intervention. Multivariate time series pose a…

cs.SI2024

SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection

Yingguang Yang, Qi Wu, Buyun He +4

Recent advancements in social bot detection have been driven by the adoption of Graph Neural Networks. The social graph, constructed from social network interactions, contains beni…

cs.SI2024★ 1 cited

Multi-Relational Structural Entropy

Yuwei Cao, Hao Peng, Angsheng Li +3

Structural Entropy (SE) measures the structural information contained in a graph. Minimizing or maximizing SE helps to reveal or obscure the intrinsic structural patterns underlyin…