Yujing Feng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Graph Learning — 12 citations into it

Whom Yujing Feng trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jure Leskovec (in Graph Learning)
2. William L. Hamilton (in Artificial Intelligence)

Papers from Yujing Feng's perspective

Ordered by how strongly the researchers Yujing Feng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
2. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
3. TensorFlow: A system for large-scale machine learning
4. Representation Learning on Graphs: Methods and Applications
5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
6. Hierarchical Graph Representation Learning with Differentiable Pooling
7. How Powerful are Graph Neural Networks?
8. Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Knowledge Discovery and Data Mining)
9. Deep Graph Kernels
10. Representation Learning on Graphs with Jumping Knowledge Networks

Their papers

• HyGCN: A GCN Accelerator with Hybrid Architecture (2020) — 351 citations