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Found 7 papers, 1 papers with code
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
Furthermore, we visualize the inferred interactions of HIRE to confirm the contribution of our model.
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
With the rapid development of social media, the wide dissemination of fake news on social media is increasingly threatening both individuals and society.
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
The results underscore the effectiveness of our model in achieving significant cross-dataset zero-shot transferability, opening pathways for the development of graph foundation models.
Guidelines in Wastewater-based Epidemiology of SARS-CoV-2 with Diagnosis
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
A Survey of Graph Meets Large Language Model: Progress and Future Directions
First of all, we propose a new taxonomy, which organizes existing methods into three categories based on the role (i. e., enhancer, predictor, and alignment component) played by LLMs in graph-related tasks.
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
In this paper, we argue that the performance degradation is mainly attributed to the inconsistency between topology and attribute.
Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics
Through measuring the changes of these characteristics and judging the relations between the people and furniture nearby, the falls on furniture can be effectively detected.
