22 skills found
xiangwang1223 / Knowledge Graph Attention NetworkKGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
claws-lab / JodieA PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
chuxuzhang / KDD2019 HetGNNcode of HetGNN
googlebaba / KDD2019 MEIRecKDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
jiuxianghedonglu / Context Aware Multi Modal Transportation RecommendationKDD CUP 2019 Baseline
CHLWR / KDD2019 K Multiple MeansImplementation 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.
graph-knowledgegraph / KDD2019 HandsOn TutorialKDD 2019 hands-on tutorial
yaoxuefeng6 / Paddle Baseline KDD2019PaddlePaddle baseline for KDD2019 "Context-Aware Multi-Modal Transportation Recommendation"
XiaoZHOUCAM / Topic Enhanced Memory Networks For Personalised Point Of Interest RecommendationKDD2019
chocolates / Predicting Path Failure In Time Evolving GraphsThe source code of kdd2019 project
Matrix-Factorization-Bandit / IMFB KDD2019Code for the experiments of Matrix Factorization Bandit
awshlabs / Kdd2019KDD conf
lipzh5 / EdMot ProAccepted at KDD2019, Oral presentation
shunk031 / Multi Task Conditional Attention NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
AlessandroVol23 / Kdd Cup 2019Repository for KDD-Cup 2019 with Baidu. Big Data Science practical course @ LMU
yasuko-matsubara / Orbitmaporbitmap (kdd2019)
louislung / KDD2019 Policy Learninghttps://www.kdd.org/kdd2019/kdd-cup
HantaoShu / KDD2019 ChallengeNo description available
MitsuruFujiwara / KDD Cup 201952nd solution of KDD Cup 2019 Regular ML track
buracagyang / KDD2019 Track1Context-Aware Multi-Modal Transportation Recommendation
