Kekun HU's repositories

AES

A Heterogeneity-Aware Graph Partitioning Algorithm in Distributed Environment

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attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

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BernNet

PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

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CapsNet-Visualization

🎆 A visualization of the CapsNet layers to better understand how it works

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DAG-ERC

Pytorch code for ACL-IJCNLP accepted paper "Directed Acyclic Graph Network for Conversational Emotion Recognition"

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decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

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DICE

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

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Distilling-Knowledge-via-Intermediate-Classifiers

Distilling Knowledge via Intermediate Classifiers

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distributed_train_pytorch

pytorch分布式训练,支持多机多卡,单机多卡。

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drl-graph-partitioning

DRL models for graph partitioning and sparse matrix ordering.

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GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks.

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Graph-Domain-Adaptaion

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

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HeCo

The source code of HeCo

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IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

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knowledge_distillation

PyTorch implementation of "Distilling the Knowledge in a Neural Network"

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models

Models and examples built with TensorFlow

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PnC

Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952

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Recommender-System-Datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

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ReNode

Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

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res-capsnet

Official implementation of the paper "Training Deep Capsule Networks with ResidualConnections".

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research-publications

A list of all publications related to the KaHyPar frameworks.

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ResLPA

Label Propagation With Residual Learning

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resrgat

ResRGAT

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SAGPool

Official PyTorch Implementation of SAGPool - ICML 2019

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TANS

This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).

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transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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Variational-Capsule-Routing

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

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