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Hierarchical Graph Transformer with Adaptive Node Sampling

Hierarchical Graph Transformer with Adaptive Node Sampling

8 October 2022
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
ArXivPDFHTML

Papers citing "Hierarchical Graph Transformer with Adaptive Node Sampling"

6 / 6 papers shown
Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Z. Zhang
Kai Zhang
Qi Liu
Weibo Gao
J. H. Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
23
0
0
04 May 2025
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Wei Qiao
Yebo Feng
Teng Li
Zijian Zhang
Zhengzi Xu
Zhuo Ma
Yulong Shen
23
0
0
23 Oct 2024
Transformer with Memory Replay
Transformer with Memory Replay
R. Liu
Barzan Mozafari
OffRL
49
3
0
19 May 2022
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
225
502
0
12 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
159
874
0
13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
212
1,726
0
09 Jun 2018
1