Zero-shot rumor detection with propagation structure via prompt learning
The spread of rumors along with breaking events seriously hinders the truth in the era of
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
social media. Previous studies reveal that due to the lack of annotated resources, rumors …
Detect rumors in microblog posts for low-resource domains via adversarial contrastive learning
Massive false rumors emerging along with breaking news or trending topics severely hinder
the truth. Existing rumor detection approaches achieve promising performance on the …
the truth. Existing rumor detection approaches achieve promising performance on the …
Propagation structure fusion for rumor detection based on node-level contrastive learning
With the rise of social media, the rapid spread of rumors online has resulted in numerous
negative effects on society and the economy. The methods for rumor detection have …
negative effects on society and the economy. The methods for rumor detection have …
Spn: A method of few-shot traffic classification with out-of-distribution detection based on siamese prototypical network
G Miao, G Wu, Z Zhang, Y Tong, B Lu - IEEE Access, 2023 - ieeexplore.ieee.org
Traffic classification has always been one of the important research directions in the field of
cyber security. Achieving rapid traffic classification and detecting unknown traffic are critical …
cyber security. Achieving rapid traffic classification and detecting unknown traffic are critical …
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
The truth is significantly hampered by massive rumors that spread along with breaking news
or popular topics. Since there is sufficient corpus gathered from the same domain for model …
or popular topics. Since there is sufficient corpus gathered from the same domain for model …
EGLR: Two-staged Explanation Generation and Language Reasoning framework for commonsense question answering
In the field of natural language processing, strong commonsense reasoning abilities are
often required for intelligent systems to excel in the task of commonsense question …
often required for intelligent systems to excel in the task of commonsense question …
A unified contrastive transfer framework with propagation structure for boosting low-resource rumor detection
The truth is significantly hampered by massive rumors that spread along with breaking news
or popular topics. Since there is sufficient corpus gathered from the same domain for model …
or popular topics. Since there is sufficient corpus gathered from the same domain for model …
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
L Chen, H Lin, J Ma, G Chen - ECAI 2023, 2023 - ebooks.iospress.nl
In the sequential recommendation task, the recommender generally learns multiple
embeddings from a user's historical behaviors, to catch the diverse interests of the user …
embeddings from a user's historical behaviors, to catch the diverse interests of the user …