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WebNavigator: Global Web Navigation via Interaction Graph Retrieval

NeurIPS 2026 · Multi-agent systems and games › LLM agents · approach: GUI agent memory and trajectories · 0 citations (OpenAlex)

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Proposes WebNavigator, which builds offline Interaction Graphs of websites with zero-token heuristic BFS exploration and, online, uses a Retrieve-Reason-Teleport Global-View Navigator to jump to target pages, reaching SOTA on WebArena and Online-Mind2Web.

Problem

Web navigation agents perform trial-and-error exploration without access to the global topological structure of websites ("Topological Blindness"), limiting performance especially on cross-site multi-site tasks.

Approach

Pre-explore each website into a directed Interaction Graph with a zero-LLM-cost adaptive BFS, index node screenshots with late-interaction multimodal retrieval, and let the agent call a single navigate(domain, query) action that retrieves candidates, selects one with a multimodal LLM, and teleports along the shortest path.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: WebArena Online-Mind2Web WebVoyager

Benchmarks: WebArena Online-Mind2Web WebVoyager

Metrics: success rate Recall@30 top-1 accuracy selector accuracy average steps execution time

Baselines: WebArena BrowserGym Tree search Exact Branch and browse WebPilot Auto-Eval WebDreamer WMA SteP Plan-and-Act Agent-e

Builds on: ReAct AgentOccam WebArena

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