Omkar2118/datasets huggingface dataset:
DTGB
Full name: Dynamic Text-attributed Graph Benchmark

We introduce Dynamic Text-attributed Graph Benchmark (DTGB), a
collection of large-scale, time-evolving graphs from diverse domains, with nodes
and edges enriched by dynamically changing text attributes and categories. To
facilitate the use of DTGB, we design standardized evaluation procedures based
on four real-world use cases: future link prediction, destination node retrieval,
edge classification, and textual relation generation. These tasks require models to
understand both dynamic graph structures and natural language, highlighting the
unique challenges posed by DyTAGs.

Introducing paper: DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs