Deep Graph Neural Networks with Shallow Subgraph Samplers

2 December 2020

Papers citing "Deep Graph Neural Networks with Shallow Subgraph Samplers"

8 / 8 papers shown

Title
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 22 21 0 18 Jun 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Ruijie Wang Zheng Li Danqing Zhang Qingyu Yin Tong Zhao Bing Yin Tarek F. Abdelzaher AI4TS 24 24 0 12 Feb 2022
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 19 68 0 25 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016