Unleashing the potential of GNNs via Bi-directional Knowledge Transfer

26 October 2023

Papers citing "Unleashing the potential of GNNs via Bi-directional Knowledge Transfer"

5 / 5 papers shown

Title
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun-Xiong Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 61 6 0 05 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan Yi Liu Yu-Ching Lin Shuiwang Ji AI4TS 88 84 0 23 Sep 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 561 0 04 Jan 2021
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Bernard Ghanem Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 74 0 19 Oct 2020