HyperAI초신경
홈
뉴스
최신 연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
한국어
HyperAI초신경
Toggle sidebar
전체 사이트 검색...
⌘
K
홈
SOTA
Node Classification
Node Classification On Citeseer
Node Classification On Citeseer
평가 지표
Accuracy
Validation
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Validation
Paper Title
Repository
MTGAE
71.80%
YES
Multi-Task Graph Autoencoders
PPNP
75.83%
YES
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
GOCN
71.8%
-
Robust Graph Data Learning via Latent Graph Convolutional Representation
-
SNoRe
66.6
-
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
-
SplineCNN
79.20%
-
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Graph-MLP + SWA
77.99 ± 1.57%
-
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
ACMII-Snowball-3
81.56 ± 1.15
-
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
-
LDS-GNN
75.0
-
Learning Discrete Structures for Graph Neural Networks
alpha-LoNGAE
71.60%
-
Learning to Make Predictions on Graphs with Autoencoders
GResNet(GCN)
72.7%
-
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
APPNP
70.0 ± 1.4
-
Fast Graph Representation Learning with PyTorch Geometric
ACM-Snowball-2
81.58 ± 1.23
-
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
-
PairE
75.53
-
Graph Representation Learning Beyond Node and Homophily
PathNet
-
-
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
GResNet(GAT)
73.5%
-
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
CGT
76.59±0.98
-
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
Graphite
71.0 ± 0.07
-
Graphite: Iterative Generative Modeling of Graphs
SF-GCN
73.4%
-
Structure fusion based on graph convolutional networks for semi-supervised classification
-
hpGAT
73.0%
-
hpGAT: High-order Proximity Informed Graph Attention Network
-
AdaGCN
76.22 ± 0.20
-
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
0 of 70 row(s) selected.
Previous
Next