Graph-less Neural Networks: Teaching Old MLPs New Tricks via
Distillation

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

17 October 2021

Papers citing "Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation"

10 / 10 papers shown

Title
Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang Xinyi Gao Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 63 2 0 15 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 88 4 0 31 Dec 2024
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 85 2 0 26 Dec 2024
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation Shuyuan Zhao Wei Chen Boyan Shi Liyong Zhou Shuohao Lin Huaiyu Wan 117 0 0 21 Dec 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 47 0 0 25 Oct 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 48 6 0 15 Dec 2023
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 46 101 0 03 Apr 2021
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 66 1,466 0 04 Jul 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 131 2,687 0 02 May 2020
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 28 4,856 0 21 Dec 2013

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