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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels.

, , , and . WWW, page 1204-1214. ACM / IW3C2, (2021)

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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels., , , and . WWW, page 1204-1214. ACM / IW3C2, (2021)Polarized Graph Neural Networks., , , , and . WWW, page 1404-1413. ACM, (2022)Joint Optimization of Ad Ranking and Creative Selection., , , , , , , and . SIGIR, page 2341-2346. ACM, (2022)HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks., , , and . KDD, page 1129-1138. ACM, (2021)Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy., , , , , , , , and . CoRR, (2024)Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach., , , , , and . CIKM, page 409-418. ACM, (2019)BioRAG: A RAG-LLM Framework for Biological Question Reasoning., , , , , , , and . CoRR, (2024)Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations., , , , , and . WWW, page 1035-1044. ACM, (2024)Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective., , , and . WWW, page 4328-4339. ACM, (2024)Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction., , , , , , and . SIGIR, page 2161-2165. ACM, (2021)