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Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale
  Graph

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph

14 February 2024
Linfeng Cao
Haoran Deng
Yang Yang
Chunping Wang
Lei Chen
ArXivPDFHTML

Papers citing "Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph"

4 / 4 papers shown
Title
Inference-friendly Graph Compression for Graph Neural Networks
Inference-friendly Graph Compression for Graph Neural Networks
Yangxin Fan
Haolai Che
Yinghui Wu
GNN
51
0
0
17 Apr 2025
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights
Shengbo Gong
Juntong Ni
Noveen Sachdeva
Carl Yang
Wei Jin
DD
34
3
0
24 Jun 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening,
  and Condensation
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
Mohammad Hashemi
Shengbo Gong
Juntong Ni
Wenqi Fan
B. A. Prakash
Wei-dong Jin
DD
59
39
0
29 Jan 2024
Semi-decentralized Federated Ego Graph Learning for Recommendation
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu
Ningzhi Tang
Ruiqi Zheng
Quoc Viet Hung Nguyen
Zi Huang
Yuhui Shi
Hongzhi Yin
FedML
62
51
0
10 Feb 2023
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