SOTAVerified

Node Classification

Node Classification is a machine learning task in graph-based data analysis, where the goal is to assign labels to nodes in a graph based on the properties of nodes and the relationships between them.

Node Classification models aim to predict non-existing node properties (known as the target property) based on other node properties. Typical models used for node classification consists of a large family of graph neural networks. Model performance can be measured using benchmark datasets like Cora, Citeseer, and Pubmed, among others, typically using Accuracy and F1.

( Image credit: Fast Graph Representation Learning With PyTorch Geometric )

Papers

Showing 14511500 of 1860 papers

TitleStatusHype
Learning Graph Representations0
Infant Cry Classification with Graph Convolutional Networks0
Calibrating and Improving Graph Contrastive LearningCode0
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection0
NEMR: Network Embedding on Metric of Relation0
Edge-Featured Graph Attention Network0
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks0
GraphAttacker: A General Multi-Task GraphAttack FrameworkCode0
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network0
Variational Embeddings for Community Detection and Node RepresentationCode0
Topology-aware Tensor Decomposition for Meta-graph Learning0
A Survey on Embedding Dynamic Graphs0
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network0
Bridging Graph Network to Lifelong Learning with Feature Interaction0
Incremental Learning on Growing Graphs0
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification0
Iterated graph neural network system0
Memory Augmented Design of Graph Neural Networks0
Hypergraph Neural Networks for Hypergraph MatchingCode0
VECoDeR - Variational Embeddings for Community Detection and Node Representation0
VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks0
Hard Masking for Explaining Graph Neural Networks0
Graph View-Consistent Learning Network0
Graph Structural Aggregation for Explainable Learning0
Towards Robust Graph Neural Networks against Label Noise0
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link RewiringCode0
Towards Powerful Graph Neural Networks: Diversity Matters0
Graph Pooling by Edge Cut0
Global Node Attentions via Adaptive Spectral Filters0
Collective Robustness Certificates0
NODE-SELECT: A FLEXIBLE GRAPH NEURAL NETWORK BASED ON REALISTIC PROPAGATION SCHEME0
Graph-Graph Similarity Network0
Teleport Graph Convolutional Networks0
ColdExpand: Semi-Supervised Graph Learning in Cold Start0
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks0
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks0
Unifying Homophily and Heterophily Network Transformation via Motifs0
An Experimental Study of the Transferability of Spectral Graph NetworksCode0
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification0
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring0
Understanding graph embedding methods and their applications0
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification0
LSCALE: Latent Space Clustering-Based Active Learning for Node ClassificationCode0
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs0
I-GCN: Robust Graph Convolutional Network via Influence Mechanism0
Pair-view Unsupervised Graph Representation Learning0
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs0
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification0
Learning Node Representations from Noisy Graph Structures0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NodeNetAccuracy80.09Unverified
2SplineCNNAccuracy79.2Unverified
3PathNetAccuracy (%)77.98Unverified
43ferenceAccuracy76.33Unverified
5MMAAccuracy76.3Unverified
6PPNPAccuracy75.83Unverified
7CoLinkDistAccuracy75.79Unverified
8CoLinkDistMLPAccuracy75.77Unverified
9APPNPAccuracy75.73Unverified
10CleoraAccuracy75.7Unverified
#ModelMetricClaimedVerifiedStatus
1NodeNetAccuracy90.21Unverified
2CoLinkDistAccuracy89.58Unverified
3CoLinkDistMLPAccuracy89.53Unverified
4PathNetAccuracy (%)88.92Unverified
53ferenceAccuracy88.9Unverified
6SplineCNNAccuracy88.88Unverified
7LinkDistAccuracy88.86Unverified
8LinkDistMLPAccuracy88.79Unverified
9PairEF188.57Unverified
10GCN + MixupAccuracy87.9Unverified
#ModelMetricClaimedVerifiedStatus
1LinkDistAccuracy88.24Unverified
2CoLinkDistAccuracy87.89Unverified
33ferenceAccuracy87.78Unverified
4LinkDistMLPAccuracy87.58Unverified
5CoLinkDistMLPAccuracy87.54Unverified
6NodeNetAccuracy86.8Unverified
7CleoraAccuracy86.8Unverified
8MMAAccuracy85.8Unverified
9GResNet(GAT)Accuracy85.5Unverified
10TransGNN1:1 Accuracy85.1Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy77.5Unverified
2LDS-GNNAccuracy75Unverified
3CPF-tra-APPNPAccuracy74.6Unverified
4G3NNAccuracy74.5Unverified
5GGCMAccuracy74.2Unverified
6GEMAccuracy74.2Unverified
7Truncated KrylovAccuracy73.86Unverified
8SSGCAccuracy73.6Unverified
9OKDEEMAccuracy73.53Unverified
10GCNIIAccuracy73.4Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy83.4Unverified
2CPF-tra-GCNIIAccuracy83.2Unverified
3DSGCNAccuracy81.9Unverified
4SuperGAT MXAccuracy81.7Unverified
5Truncated KrylovAccuracy81.7Unverified
6G-APPNPAccuracy80.95Unverified
7GGCMAccuracy80.8Unverified
8GCN(predicted-targets)Accuracy80.42Unverified
9SSGCAccuracy80.4Unverified
10GCNIIAccuracy80.2Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy86.9Unverified
2GCN-TVAccuracy86.3Unverified
3GCNIIAccuracy85.5Unverified
4CPF-ind-APPNPAccuracy85.3Unverified
5AIR-GCNAccuracy84.7Unverified
6H-GCNAccuracy84.5Unverified
7G-APPNPAccuracy84.31Unverified
8SuperGAT MXAccuracy84.3Unverified
9DSGCNAccuracy84.2Unverified
10LDS-GNNAccuracy84.1Unverified