📑

AI Paper Research

AI 논문 조사 및 정리

Foundations
그래프 MLGraph Machine Learning
Recipe for a General, Powerful, Scalable...GraphMAE: Self-Supervised Masked Graph A...
E(n) Equivariant Graph Neural Networks
Open Graph Benchmark: Datasets for Machi...
How Powerful are Graph Neural Networks?
SchNet: A continuous-filter convolutiona...
Graph Attention NetworksInductive Representation Learning on Lar...Neural Message Passing for Quantum Chemi...
Semi-Supervised Classification with Grap...
홈/그래프 ML/2022

그래프 ML — 2022

2편의 논문

NeurIPS 2022500+

Recipe for a General, Powerful, Scalable Graph Transformer

범용적이고 강력하며 확장 가능한 그래프 트랜스포머의 레시피

Ladislav Rampášek, Mikhail Galkin, Vijay Prakash Dwivedi et al. (2022)

KDD 2022600+

GraphMAE: Self-Supervised Masked Graph Autoencoders

GraphMAE: 자기지도 마스크 그래프 오토인코더

Zhenyu Hou, Xiao Liu, Yukuo Cen et al. (2022)

← 그래프 ML 전체