Zhimin Zhang

Artificial Intelligence · with Deng · 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 Zhimin Zhang 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 Zhimin Zhang's perspective

Ordered by how strongly the researchers Zhimin Zhang 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. Representation Learning on Graphs: Methods and Applications
4. Hierarchical Graph Representation Learning with Differentiable Pooling
5. TensorFlow: A system for large-scale machine learning
6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
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