Kdd 2023 Dgi: An Easy And Efficient Framework For Gnn Model Evaluation

KDD 2023 DGI: An Easy and Efficient Framework for GNN Model Evaluation

Association for Computing Machinery (ACM)

KDD 2023 - Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining

Association for Computing Machinery (ACM)

KDD 2023 - A Data-centric Framework to Endow Graph Neural Networks

Association for Computing Machinery (ACM)

KDD 2023 - A Causality Inspired Framework for Model Interpretation

Association for Computing Machinery (ACM)

KDD 2023 - Meta Graph Learning for Long-tail Recommendation

Association for Computing Machinery (ACM)

KDD 2023 - On Improving the Cohesiveness Graphs by Merging Nodes: Formulation, Analysis, Algorithms

Association for Computing Machinery (ACM)

KDD 2023 - MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

Association for Computing Machinery (ACM)

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

Association for Computing Machinery (ACM)

KDD 2023 - On the Predictive Power of Graph Neural Networks

Association for Computing Machinery (ACM)

KDD 2023 - Clenshaw Graph Neural Networks

Association for Computing Machinery (ACM)

KDD 2023 - A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs

Association for Computing Machinery (ACM)

KDD 2023 - Narrow the Input Mismatch in Deep Graph Neural Network Distillation

Association for Computing Machinery (ACM)

KDD 2023 - Graph Structure Learning via Progressive Strategy

Association for Computing Machinery (ACM)

KDD 2023 - CCTL: A Collaborative Transfer Learning Framework for Cross-domain Recommendation

Association for Computing Machinery (ACM)

KDD 2023 - Graph Neural Bandits

Association for Computing Machinery (ACM)