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Found 2 papers, 1 papers with code
Equivariant Quantum Graph Circuits
We investigate quantum circuits for graph representation learning, and propose equivariant quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong relational inductive bias for learning over graph-structured data.
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
We present Wiki-CS, a novel dataset derived from Wikipedia for benchmarking Graph Neural Networks.
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