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GraphVQ: Structure-Aware Autoregressive Decoding over Context-Quantized Graph Tokens
Graph foundation models need a discrete token representation, but casting a graph as a generatable token sequence faces a structural obstacle: edges spanning beyond the serialization window cannot be emitted in one pass--so one-pass autoregressive generators systematically under-produce cycles--and
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