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cs.LG2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover, Geoffrey J. Gordon, Christos Faloutsos
Does the intrinsic curvature of complex networks hold the key to unveiling graph anomalies that conventional approaches overlook? Reconstruction-based graph anomaly detection (GAD)…
cs.LG2025
Spectro-Riemannian Graph Neural Networks
Karish Grover, Haiyang Yu, Xiang Song +4
Can integrating spectral and curvature signals unlock new potential in graph representation learning? Non-Euclidean geometries, particularly Riemannian manifolds such as hyperbolic…