Baole Ai
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Graph Learning — 18 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Baole Ai trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Max Welling (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Jure Leskovec (in Graph Learning)
Papers from Baole Ai's perspective
Ordered by how strongly the researchers Baole Ai trusts endorse each paper. Same corpus, a different order for every researcher.
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- node2vec: Scalable Feature Learning for Networks
- LINE: Large-scale Information Network Embedding
- DeepWalk: online learning of social representations
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Interaction Networks for Learning about Objects, Relations and Physics
Their papers
- AliGraph: A Comprehensive Graph Neural Network Platform (2019) — 469 citations