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SEMIR: Topology-Preserving Graph Minors for Thin-Structure Segmentation
Arxiv
1+阅读 · 6月22日
A Spectral Theory of Normalized Corrected GNN Propagation
Arxiv
0+阅读 · 6月22日
Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition
Arxiv
0+阅读 · 6月20日
MolGraphBench: A Benchmark of GNN Architectures for Molecular Regression Tasks
Arxiv
0+阅读 · 6月18日
Structural Preservation and the Logical Expressiveness of Graph Neural Networks
Arxiv
0+阅读 · 6月16日
LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks
Arxiv
0+阅读 · 6月16日
Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection
Arxiv
0+阅读 · 6月15日
Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models
Arxiv
0+阅读 · 6月12日
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
Arxiv
0+阅读 · 6月15日
When the Tool Decides: LLM Agents Defer Blindly to Graph Neural Network Tools, and Stronger Backbones Defer More
Arxiv
0+阅读 · 6月12日
Generalizing GNNs with Tokenized Mixture of Experts
Arxiv
0+阅读 · 6月12日
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
Arxiv
0+阅读 · 5月31日
A Logical View of GNN-Style Computation and the Role of Activation Functions
Arxiv
0+阅读 · 5月26日
Verifying Quantized GNNs With Readout Is Decidable But Highly Intractable
Arxiv
0+阅读 · 4月26日
Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation
Arxiv
0+阅读 · 5月8日
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