{"total":42,"rows":[{"id":"2205.15508","title":"Rethinking Graph Neural Networks for Anomaly Detection","created":"2022-05-31","cited_by_count":187,"area":null},{"id":"2203.00199","title":"Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks","created":"2022-03-01","cited_by_count":94,"area":null},{"id":"2208.00368","title":"Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction","created":"2022-07-31","cited_by_count":29,"area":null},{"id":"2206.01506","title":"Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?","created":"2022-06-03","cited_by_count":25,"area":null},{"id":"2207.11311","title":"Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective","created":"2022-07-22","cited_by_count":19,"area":null},{"id":"2102.02828","title":"Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs","created":"2021-02-04","cited_by_count":18,"area":null},{"id":"2106.10526","title":"Stability of Graph Convolutional Neural Networks to Stochastic Perturbations","created":"2021-06-19","cited_by_count":18,"area":null},{"id":"2201.08932","title":"Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks","created":"2022-01-22","cited_by_count":18,"area":null},{"id":"2208.08561","title":"Geometric Scattering on Measure Spaces","created":"2022-08-17","cited_by_count":17,"area":null},{"id":"2308.10436","title":"Approximately Equivariant Graph Networks","created":"2023-08-21","cited_by_count":16,"area":null},{"id":"2110.12752","title":"Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets","created":"2021-10-25","cited_by_count":11,"area":null},{"id":"2209.12054","title":"From Local to Global: Spectral-Inspired Graph Neural Networks","created":"2022-09-24","cited_by_count":11,"area":null},{"id":"2206.10078","title":"The Manifold Scattering Transform for High-Dimensional Point Cloud Data","created":"2022-06-21","cited_by_count":9,"area":null},{"id":"2208.07458","title":"Learnable Filters for Geometric Scattering Modules","created":"2022-08-15","cited_by_count":9,"area":null},{"id":"2108.09923","title":"Convolutional Filtering and Neural Networks with Non Commutative Algebras","created":"2021-08-23","cited_by_count":8,"area":null},{"id":"2110.06241","title":"Molecular Graph Generation via Geometric Scattering","created":"2021-10-12","cited_by_count":7,"area":null},{"id":"2108.01660","title":"Graph Neural Networks With Lifting-based Adaptive Graph Wavelets","created":"2021-08-03","cited_by_count":6,"area":null},{"id":"2405.13806","title":"A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition","created":"2024-05-22","cited_by_count":4,"area":null},{"id":"2308.10077","title":"Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views","created":"2023-08-19","cited_by_count":3,"area":null},{"id":"2309.09924","title":"DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms","created":"2023-09-18","cited_by_count":3,"area":null},{"id":"2310.17579","title":"BLIS-Net: Classifying and Analyzing Signals on Graphs","created":"2023-10-26","cited_by_count":3,"area":null},{"id":"2510.11839","title":"WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation","created":"2025-10-13","cited_by_count":3,"area":null},{"id":"2301.11456","title":"Graph Scattering beyond Wavelet Shackles","created":"2023-01-26","cited_by_count":2,"area":null},{"id":"2307.04056","title":"Manifold Filter-Combine Networks","created":"2023-07-08","cited_by_count":2,"area":null},{"id":"2309.07813","title":"Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis","created":"2023-09-14","cited_by_count":2,"area":null},{"id":"2312.02372","title":"On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks","created":"2023-12-04","cited_by_count":2,"area":null},{"id":"2502.07746","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","created":"2025-02-11","cited_by_count":2,"area":null},{"id":"2311.03411","title":"ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings","created":"2023-11-06","cited_by_count":1,"area":null},{"id":"2510.01022","title":"VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2110.12150","title":"Spatio-Temporal Graph Complementary Scattering Networks","created":"2021-10-23","cited_by_count":0,"area":null},{"id":"2207.05887","title":"Tuning the Geometry of Graph Neural Networks","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2403.09742","title":"A short review on the maximum clique problem algorithms with classical, AI, and quantum methods","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2410.14639","title":"Convergence of Manifold Filter-Combine Networks","created":"2024-10-18","cited_by_count":0,"area":null},{"id":"2410.20317","title":"ProtScape: A molecular structure and energy-aware representation for protein conformation generation","created":"2024-10-27","cited_by_count":0,"area":null},{"id":"2411.15331","title":"GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2504.08802","title":"InfoGain Wavelets: Furthering the Design of Graph Diffusion Wavelets","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2505.18289","title":"Convexified Message-Passing Graph Neural Networks","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2511.22866","title":"ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2602.03698","title":"Data-Driven Graph Filters via Adaptive Spectral Shaping","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.02462","title":"Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2604.16851","title":"Applications of deep generative models to DNA reaction kinetics and to cryogenic electron microscopy","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2609.36237","title":"Transversal Pooling Neural Networks","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}