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Revisiting Embeddings for Graph Neural Networks

Revisiting Embeddings for Graph Neural Networks

19 September 2022
S. Purchase
A. Zhao
Robert D. Mullins
ArXivPDFHTML

Papers citing "Revisiting Embeddings for Graph Neural Networks"

3 / 3 papers shown
Title
You do not have to train Graph Neural Networks at all on text-attributed
  graphs
You do not have to train Graph Neural Networks at all on text-attributed graphs
Kaiwen Dong
Zhichun Guo
Nitesh V. Chawla
37
1
0
17 Apr 2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
Kaiwen Dong
Zhichun Guo
Nitesh V. Chawla
24
7
0
02 Sep 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen
Haitao Mao
Hang Li
Wei Jin
Haifang Wen
...
Shuaiqiang Wang
Dawei Yin
Wenqi Fan
Hui Liu
Jiliang Tang
AI4CE
57
265
0
07 Jul 2023
1