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State of Graph AI | Report | ScienceToStartup

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Graph AI

State of Graph AI

4 papers · avg viability 5.3

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Top papers

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning(7.0)
Mitigating topology biases in Graph Diffusion via Counterfactual Intervention(6.0)
Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning(6.0)
Aligning the Unseen in Attributed Graphs: Interplay between Graph Geometry and Node Attributes Manifold(2.0)