SOTA Graph Alignment benchmarks and papers with code

Benchmarks

Dataset Name	SOTA Method	Metric
Dense Erdős-Rényi graphs (average degree 80)		Accuracy100	48	1d ago
Sparse Erdős-Rényi graphs average degree 4		Accuracy98	48	1d ago
Douban	AVATAR-L2	MRR91.8	45	8d ago
Regular Random Graphs degree 10	FGNN PROJ	Accuracy100	30	1d ago
Yeast PPI real-world networks	FAQ(Dcx)	Accuracy84.2	25	1d ago
Synthetic Erdos-Renyi graphs (n=300)	iPG	Loss0.0585	13	27d ago
Synthetic Erdos-Renyi graphs n=400	iPG	Loss0.0395	13	27d ago
Synthetic Erdos-Renyi graphs n=200 (test)	BAPG	Loss0.106	13	27d ago
Synthetic Erdos-Renyi graphs n=500 (test)	iPG	Loss0.0325	13	27d ago
Synthetic Erdos-Renyi graphs n=100	BAPG	Loss0.0305	13	27d ago
Allmv-Imdb	GlobAlign	Hits@196.3	9	2mo ago
INF-EUROROAD 20% noise		Normalized Cross Entropy (NCE)714	8	1d ago
INF-EUROROAD (10% noise)		Normalized Cross Entropy (NCE)818	8	1d ago
CA-NETSCIENCE 20% noise		Normalized Cross Entropy (NCE)629	8	1d ago
CA-NETSCIENCE (10% noise)		NCE794	8	1d ago
YEAST25LC 10% noise		Normalized Cross Entropy7,035	8	1d ago
YEAST25LC 5% noise		Normalized Cross Entropy (NCE)7,480	8	1d ago
ACM-DBLP	GlobAlign	Hits@178.25	8	2mo ago
Regular Random Graphs p_noise = 0.1 (test)	ChFGNN FAQ	Normalized Alignment Quality (ALG/REF)81.8	6	1d ago
Dense Erdős–Rényi Random Graphs p_noise = 0.25 (test)	ChFGNN FAQ	Normalized Alignment Quality77.4	6	1d ago
Sparse Erdős–Rényi Random Graphs p_noise = 0.25 (test)	ChFGNN FAQ	Normalized Alignment Quality (ALG/REF)98.8	6	1d ago
CS	GlobAlign	Hits@199.79	6	2mo ago
Physics	GlobAlign-E	Hits@199.03	5	2mo ago
Regular noise 0.05		NCE (Graph Alignment)131	3	1d ago
ER dense noise 0.2		NCE5,853	3	1d ago

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