{"total":10,"rows":[{"id":"2203.15935","title":"Graph Neural Networks in IoT: A Survey","created":"2022-03-29","cited_by_count":28,"area":null},{"id":"2305.10758","title":"Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework","created":"2023-05-18","cited_by_count":24,"area":null},{"id":"2107.12972","title":"Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation","created":"2021-07-27","cited_by_count":11,"area":null},{"id":"2209.08622","title":"The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning","created":"2022-09-18","cited_by_count":7,"area":null},{"id":"2312.08223","title":"Patch-wise Graph Contrastive Learning for Image Translation","created":"2023-12-13","cited_by_count":4,"area":null},{"id":"2109.14611","title":"Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning","created":"2021-09-29","cited_by_count":3,"area":null},{"id":"2110.11400","title":"Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs","created":"2021-10-18","cited_by_count":3,"area":null},{"id":"2103.13322","title":"DNN Quantization with Attention","created":"2021-03-24","cited_by_count":1,"area":null},{"id":"2210.17475","title":"Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs","created":"2022-10-31","cited_by_count":1,"area":null},{"id":"2110.03999","title":"Graphs as Tools to Improve Deep Learning Methods","created":"2021-10-08","cited_by_count":0,"area":null}],"next_cursor":null}