KDD 2023 - Graph-Aware Language Model Pre-Training Large Graph Corpus Can Help Multiple Graph

KDD 2023 - Graph-Aware Language Model Pre-Training Large Graph Corpus Can Help Multiple Graph

Language and graph foundational models: Distillation and Pretraining – Vasileios IoannidisПодробнее

Language and graph foundational models: Distillation and Pretraining – Vasileios Ioannidis

KDD 2023 - Finding a Support Subgraph Set for Graph RepresentationПодробнее

KDD 2023 - Finding a Support Subgraph Set for Graph Representation

KDD 2023 - Criteria Preference-Aware Light Graph Convolution Effective Multi-Criteria RecommendationПодробнее

KDD 2023 - Criteria Preference-Aware Light Graph Convolution Effective Multi-Criteria Recommendation

KDD 2023 - On Structural Expressive Power of Graph TransformersПодробнее

KDD 2023 - On Structural Expressive Power of Graph Transformers

Vertex, Edge, Clique: What's in a Graph?Подробнее

Vertex, Edge, Clique: What's in a Graph?

KDD 2023 - Graph Structure Learning via Progressive StrategyПодробнее

KDD 2023 - Graph Structure Learning via Progressive Strategy

KDD 2024 - LLM4DyG Can Large Language Models Solve Spatial-Temporal Problems on Dynamic GraphsПодробнее

KDD 2024 - LLM4DyG Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs

KDD 2023 - Graph-enhanced General Table Pre-training with Alternate Attention NetworkПодробнее

KDD 2023 - Graph-enhanced General Table Pre-training with Alternate Attention Network

KDD 2023 - Fewshot Low-resource Knowledge Graph Completion with Multi-view Representation GenerationПодробнее

KDD 2023 - Fewshot Low-resource Knowledge Graph Completion with Multi-view Representation Generation

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement LearningПодробнее

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

KDD 2023 - Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic SystemsПодробнее

KDD 2023 - Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems

KDD 2023 - Leveraging Relational Graph Neural Network for Transductive Model EnsembleПодробнее

KDD 2023 - Leveraging Relational Graph Neural Network for Transductive Model Ensemble

KDD 2023 - When to Pre-Train Graph Neural Networks? From Data Generation Perspective!Подробнее

KDD 2023 - When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

KDD 2023 - Graphs, Databases and Machine LearningПодробнее

KDD 2023 - Graphs, Databases and Machine Learning

KDD 2023 - Spatial Heterophily Aware Graph Neural NetworksПодробнее

KDD 2023 - Spatial Heterophily Aware Graph Neural Networks

KDD 2023 - Meta Graph Learning for Long-tail RecommendationПодробнее

KDD 2023 - Meta Graph Learning for Long-tail Recommendation

KDD 2023 - Generalizing Explanations for Graph Neural Networks with Data AugmentationПодробнее

KDD 2023 - Generalizing Explanations for Graph Neural Networks with Data Augmentation