Search Results for author:
Found 5 papers, 0 papers with code
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
This paper explores the utilization of Temporal Graph Networks (TGN) for financial anomaly detection, a pressing need in the era of fintech and digitized financial transactions.
A Recommender System for NFT Collectibles with Item Feature
Recommender systems have been actively studied and applied in various domains to deal with information overload.
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning
Hence, the tricky point in stock recommendation is that recommendations should give good investment performance but also should not ignore individual preferences.
A Temporal Graph Network Framework for Dynamic Recommendation
Recommender systems, crucial for user engagement on platforms like e-commerce and streaming services, often lag behind users' evolving preferences due to static data reliance.
NFTs to MARS: Multi-Attention Recommender System for NFTs
Recommender systems have become essential tools for enhancing user experiences across various domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
