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The Top 8 Few Shot Learning Graph Neural Networks Open Source Projects
Open source projects categorized as Few Shot Learning Graph Neural Networks
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kaize0409/awesome-few-shot-gnn
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103
An index of algorithms for few-shot learning/meta-learning on graphs
dependent packages
0
total releases
0
most recent commit
over 2 years ago
mims-harvard/G-Meta
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96
Graph meta learning via local subgraphs (NeurIPS 2020)
dependent packages
0
total releases
0
most recent commit
over 3 years ago
ylsung/gnn_few_shot_cifar100
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68
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
dependent packages
0
total releases
0
most recent commit
almost 8 years ago
kaize0409/Meta-GDN_AnomalyDetection
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60
Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
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0
total releases
0
most recent commit
over 2 years ago
crisostomi/metric-few-shot-graph
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24
Few-Shot Graph Classification via distance metric learning.
dependent packages
0
total releases
0
most recent commit
about 2 years ago
JinheonBaek/GEN
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20
Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).
dependent packages
0
total releases
0
most recent commit
about 5 years ago
YuxiangZhang-BIT/IEEE_TNNLS_Gia-CFSL
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19
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
dependent packages
0
total releases
0
most recent commit
almost 3 years ago
RManLuo/NP-FKGC
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11
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
dependent packages
0
total releases
0
most recent commit
about 3 years ago
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