Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
-
Updated
Jun 27, 2022 - Python
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.
TKDE'20 paper, "CONNA: Addressing Name Disambiguation on the Fly".
A Hierarchical Attention Model for Social Contextual Image Recommendation, TKDE2019
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
A Deep-learning-based context-aware recommendation system with two kinds of attention modules
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning, IEEE Transactions on Knowledge and Data Engineering 2024
Add a description, image, and links to the tkde topic page so that developers can more easily learn about it.
To associate your repository with the tkde topic, visit your repo's landing page and select "manage topics."