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Graph neural network, as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest.
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HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. In CIKM . 1797–1806
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Inductive Representation Learning on Large Graphs. In NIPS . 1024–1034
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Attention is All you Need. In NIPS . 5998–6008
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Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model. In SIGKDD . 1531–1540
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Graph Attention Networks
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Embedding logical queries on knowledge graphs. In Advances in Neural Information Processing Systems . 2030–2041
Will Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, and Jure Leskovec. 2018 · 2041
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Show, attend and tell: Neural image caption generation with visual attention. In ICML . 2048–2057
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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