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Found 5 papers, 1 papers with code
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
To address the limited data resources and reduce the annotation cost, we introduce FinLLMs, a method for generating financial question-answering data based on common financial formulas using Large Language Models.
DySuse: Susceptibility Estimation in Dynamic Social Networks
Based on the significance of susceptibility estimation and dynamic properties of social networks, we propose a task, called susceptibility estimation in dynamic social networks, which is even more realistic and valuable in real-world applications.
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
Predicting information cascade popularity is a fundamental problem in social networks.
Securing Distributed SGD against Gradient Leakage Threats
Next, we present a gradient leakage resilient approach to securing distributed SGD in federated learning, with differential privacy controlled noise as the tool.
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
This survey paper reviews the design principles and the different node embedding techniques for network representation learning over homogeneous networks.
