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Graph AI research – Page 5 · SOTA2 Research
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12 benchmarks · 13 papers
Few-shot Learning
12 benchmarks · 3 papers
Semi-supervised graph classification
12 benchmarks · 3 papers
Node Retrieval
12 benchmarks · 1 papers
Unsat-core prediction
12 benchmarks · 1 papers
Markov boundary discovery
12 benchmarks · 5 papers
Molecular Regression
11 benchmarks · 1 papers
Causal Variable Identification
11 benchmarks · 2 papers
Dynamic Graph Anomaly Detection
11 benchmarks · 5 papers
Correlation Clustering
11 benchmarks · 10 papers
Knowledge Base Completion
11 benchmarks · 2 papers
Federated Graph Classification
11 benchmarks · 9 papers
Shortest Path
11 benchmarks · 1 papers
GNN Calibration
11 benchmarks · 2 papers
Graph partitioning
11 benchmarks · 5 papers
Knowledge Graph Extraction
11 benchmarks · 1 papers
Merging of Graph Neural Force Fields
11 benchmarks · 1 papers
Expansion Count Reduction
11 benchmarks · 2 papers
Causal Identification
10 benchmarks · 1 papers
Temporal Entity Alignment
10 benchmarks · 2 papers
Entity Recommendation
10 benchmarks · 4 papers
DAG structure learning
10 benchmarks · 1 papers
Hypergraph Parameter Estimation
10 benchmarks · 1 papers
DAG Structure Recovery
10 benchmarks · 1 papers
Graph parsing
10 benchmarks · 1 papers
k-NN Ranking (SED)
10 benchmarks · 2 papers
Graph Compression
10 benchmarks · 1 papers
Ranking direct causal variables
10 benchmarks · 1 papers
Large-scale Spectral Clustering
10 benchmarks · 14 papers
Logical Query Answering
10 benchmarks · 1 papers
Node Classification Robustness Verification
10 benchmarks · 1 papers
Edge-level Anomaly Detection
10 benchmarks · 1 papers
Graph Neural Force Field Prediction
Page 5 of 40
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