OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining

arXiv:2402.15810v1 Announce Type: cross
Abstract: With the rapid proliferation of scientific literature, versatile academic knowledge services increasingly rely on comprehensive academic graph mining. Despite the availability of public academic graphs, benchmarks, and datasets, these resources often fall short in multi-aspect and fine-grained annotations, are constrained to specific task types and domains, or lack underlying real academic graphs. In this paper, we present OAG-Bench, a comprehensive, multi-aspect, and fine-grained human-curated benchmark based on the Open Academic Graph (OAG). OAG-Bench covers 10 …

academic arxiv benchmark cs.cl cs.dl cs.lg graph graph mining human mining type