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Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

What I Have Read ⭐ 149

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Graph meta learning via local subgraphs (NeurIPS 2020)

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).

Meta Graph ⭐ 18

Meta-Learning for Few Shot Link Prediction

A meta-learning framework for few-shot graph learning

Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"

Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".

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