Topic: heterogeneous-information-networks Goto Github
Some thing interesting about heterogeneous-information-networks
Some thing interesting about heterogeneous-information-networks
heterogeneous-information-networks,Based on the HinDroid architecture outlined in the following paper: https://www.cse.ust.hk/~yqsong/papers/2017-KDD-HINDROID.pdf
User: briggs599
heterogeneous-information-networks,Official implementation of "Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding", IEEE TBD 2023.
User: bywmm
heterogeneous-information-networks,HIN using Twitter Data
Organization: channelit
heterogeneous-information-networks,This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
User: chenchongthu
heterogeneous-information-networks,A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset
User: deancochran
heterogeneous-information-networks,A random-walk with restart algorithm over an enriched graph constructed using type-2 fuzzy data fusion.
User: dkrlab
Home Page: http://dkr.iut.ac.ir
heterogeneous-information-networks,Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
User: gentlezhu
heterogeneous-information-networks,Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction
Organization: hallamlab
Home Page: https://github.com/hallamlab/pathway2vec
heterogeneous-information-networks,KDD17_FMG
Organization: hkust-knowcomp
heterogeneous-information-networks,The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks"
Organization: hkust-knowcomp
heterogeneous-information-networks,:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
User: immohammadhosseini
heterogeneous-information-networks,Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
User: jhl-hust
heterogeneous-information-networks,Representation-Learning-on-Heterogeneous-Graph
User: jhy1993
heterogeneous-information-networks,[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Organization: lars-research
heterogeneous-information-networks,Code for paper "PGRA: Projected Graph Relation-Feature Attention Network for Heterogeneous Information Network Embedding", Information Sciences. 2021.
User: nutcrtnk
heterogeneous-information-networks,Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
User: pcy1302
heterogeneous-information-networks,Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
User: pcy1302
heterogeneous-information-networks,Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"
User: rootlu
heterogeneous-information-networks,Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
User: rootlu
heterogeneous-information-networks,Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
User: rootlu
heterogeneous-information-networks,Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
User: sisaman
heterogeneous-information-networks,Venue Prediction with bag of words + heterogenous information using sklearn SGDClassifier
User: ss87021456
heterogeneous-information-networks,CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
User: xygaog
heterogeneous-information-networks,Heterogeneous Information Network Datasets
User: zechengz
heterogeneous-information-networks,[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)
User: zhiqiangzhongddu
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.