From the 1 of 6 linked papers with an AI index.
1 citations · 1 across the 1 of their papers we have counts for
6 papers
NodeImport: Imbalanced Node Classification with Node Importance Assessment
Nan Chen, Zemin Liu, Bryan Hooi +3
The paper proposes NodeImport, a framework that assesses node importance using a balanced meta-set to dynamically select valuable labeled, unlabeled, and synthetic nodes, improving…
Incremental GNN Embedding Computation on Streaming Graphs
Qiange Wang, Haoran Lv, Yanfeng Zhang +2
Graph Neural Network (GNN) on streaming graphs has gained increasing popularity. However, its practical deployment remains challenging, as the inference process relies on Runtime E…
Efficient Densest Flow Queries in Transaction Flow Networks (Complete Version)
Jiaxin Jiang, Yunxiang Zhao, Lyu Xu +4
Transaction flow networks are crucial in detecting illicit activities such as wash trading, credit card fraud, cashback arbitrage fraud, and money laundering. \revise{Our collabora…
Blurred Encoding for Trajectory Representation Learning
Silin Zhou, Yao Chen, Shuo Shang +3
Trajectory representation learning (TRL) maps trajectories to vector embeddings and facilitates tasks such as trajectory classification and similarity search. State-of-the-art (SOT…
Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report)
Jiaxin Jiang, Siyuan Yao, Yuchen Li +3
Detecting fraudulent activities in financial and e-commerce transaction networks is crucial. One effective method for this is Densest Subgraph Discovery (DSD). However, deploying D…
Revisiting the Design of In-Memory Dynamic Graph Storage
Jixian Su, Chiyu Hao, Shixuan Sun +7
The effectiveness of in-memory dynamic graph storage (DGS) for supporting concurrent graph read and write queries is crucial for real-time graph analytics and updates. Various meth…