{"total":23,"rows":[{"id":"2404.01039","title":"A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide","created":"2024-04-01","cited_by_count":23,"area":null},{"id":"2312.04111","title":"Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification","created":"2023-12-07","cited_by_count":19,"area":null},{"id":"2406.07955","title":"How Interpretable Are Interpretable Graph Neural Networks?","created":"2024-06-12","cited_by_count":13,"area":null},{"id":"2410.20366","title":"Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy","created":"2024-10-27","cited_by_count":13,"area":null},{"id":"2402.04621","title":"Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective","created":"2024-02-07","cited_by_count":9,"area":null},{"id":"2405.20652","title":"Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs","created":"2024-05-31","cited_by_count":8,"area":null},{"id":"2503.01079","title":"Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature","created":"2025-03-03","cited_by_count":8,"area":null},{"id":"2403.11408","title":"Layer-diverse Negative Sampling for Graph Neural Networks","created":"2024-03-18","cited_by_count":7,"area":null},{"id":"2406.00418","title":"GATE: How to Keep Out Intrusive Neighbors","created":"2024-06-01","cited_by_count":5,"area":null},{"id":"2506.19343","title":"Discrepancy-Aware Graph Mask Auto-Encoder","created":"2025-06-24","cited_by_count":4,"area":null},{"id":"2312.05611","title":"Triplet Edge Attention for Algorithmic Reasoning","created":"2023-12-09","cited_by_count":2,"area":null},{"id":"2405.12521","title":"Unleash Graph Neural Networks from Heavy Tuning","created":"2024-05-21","cited_by_count":2,"area":null},{"id":"2407.18480","title":"Scalable Graph Compressed Convolutions","created":"2024-07-26","cited_by_count":2,"area":null},{"id":"2504.15920","title":"ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion","created":"2025-04-22","cited_by_count":2,"area":null},{"id":"2504.19820","title":"Hierarchical Uncertainty-Aware Graph Neural Network","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2508.20597","title":"Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks","created":"2025-08-28","cited_by_count":1,"area":null},{"id":"2404.09809","title":"Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2407.02758","title":"Differential Encoding for Improved Representation Learning over Graphs","created":"2024-07-03","cited_by_count":0,"area":null},{"id":"2407.11615","title":"Graph Dimension Attention Networks for Enterprise Credit Assessment","created":"2024-07-16","cited_by_count":0,"area":null},{"id":"2408.04895","title":"Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks","created":"2024-08-09","cited_by_count":0,"area":null},{"id":"2503.00578","title":"Channel-Attentive Graph Neural Networks","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2507.01031","title":"PyTorch-based Geometric Learning with Non-CUDA Processing Units: Experiences from Intel Gaudi-v2 HPUs","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2507.21422","title":"GraphTorque: Torque-Driven Rewiring Graph Neural Network","created":"2025-07-29","cited_by_count":0,"area":null}],"next_cursor":null}