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Hierarchical Graph Pooling with Structure Learning(AAAI-2020)
Implemenation of the paper "Towards Sparse Hierarchical Graph Classifier" tested on Enzymes and Proteins datasets using Python 3.6 and Tensorflow 2.0.
Codes for the paper Hierarchical Contextualized Representation for Named Entity Recognition
PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.
Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
A general purpose community detection and network embedding library for research built on NetworkX.
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Reasoning Over Knowledge Graph Paths for Recommendation
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Codes for paper "LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification"
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)
Long-Short Graph Memory Network for Skeleton-based Action Recognition(WACV2020)
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Multi-view Clustering in Latent Embedding Space, AAAI2020
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
CODE OF 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions'
PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"
Source code for ACL2019 paper "Multi-Channel Graph Neural Network for Entity Alignment".
Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"
Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch
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.