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  1. Home
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  3. Is One Token All It Takes? Graph Pooling Tokens for LLM-base
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Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

Fresh1d ago
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0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T20:55:34.875269+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

PDF: https://arxiv.org/pdf/2604.00342v1

Repository: https://github.com/Agrover112/G-Retriever/tree/all_good/

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-04-03T20:30:41.068157+00:00

Starting…

Dimensions overall score 7.0

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Last commit
11/15/2024
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0
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Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
Score 5.0down
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Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
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Prior Work
<SOG_k>: One LLM Token for Explicit Graph Structural Understanding
Score 7.0stable
Prior Work
Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models
Score 7.0stable
Prior Work
Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
Score 7.0stable
Competing Approach
GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node Classification
Score 7.0stable

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