kdd2019 topic

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

xiangwang1223

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

claws-lab

KDD CUP 2019 Baseline

jiuxianghedonglu

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

CHLWR

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

shunk031