 Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph
RepresentationAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Characterizing Graph Datasets for Node Classification:
Homophily-Heterophily Dichotomy and BeyondNeural Information Processing Systems (NeurIPS), 2022 |
 Rethinking Graph Neural Networks for Anomaly DetectionInternational Conference on Machine Learning (ICML), 2022 |
 How Powerful are Spectral Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2022 |
 Tree Decomposed Graph Neural NetworkInternational Conference on Information and Knowledge Management (CIKM), 2021 |
 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
ApproximationNeural Information Processing Systems (NeurIPS), 2021 |
 AdaGNN: Graph Neural Networks with Adaptive Frequency Response FilterInternational Conference on Information and Knowledge Management (CIKM), 2021 |
 Beyond Low-frequency Information in Graph Convolutional NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020 |
 Alleviating the Inconsistency Problem of Applying Graph Neural Network
to Fraud DetectionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 |
 A Semi-supervised Graph Attentive Network for Financial Fraud DetectionIndustrial Conference on Data Mining (IDM), 2019 |
 Heterogeneous Graph Neural Networks for Malicious Account DetectionInternational Conference on Information and Knowledge Management (CIKM), 2018 |
 Geom-GCN: Geometric Graph Convolutional NetworksInternational Conference on Learning Representations (ICLR), 2020 |
 PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNeural Information Processing Systems (NeurIPS), 2019 |
 Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 |
 Inductive Representation Learning on Large GraphsNeural Information Processing Systems (NeurIPS), 2017 |
 Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba |
