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Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and
  Prospects

Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects

10 March 2024
Pengfei Ding
Yan Wang
Guanfeng Liu
ArXivPDFHTML

Papers citing "Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects"

5 / 5 papers shown
Title
Few-Shot Causal Representation Learning for Out-of-Distribution
  Generalization on Heterogeneous Graphs
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
Pengfei Ding
Yan Wang
Guanfeng Liu
Nan Wang
Xiaofang Zhou
OODD
OOD
31
2
0
07 Jan 2024
Simple and Efficient Heterogeneous Graph Neural Network
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang
Yurui Lai
Shirui Pan
Xiaochun Ye
Xiaochun Ye
56
123
0
06 Jul 2022
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh V. Chawla
AI4CE
116
170
0
16 Feb 2021
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,170
0
03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1