raymondhliu Goto Github PK

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

baidubigdata19-urfc

my solution with 0.67 accuracy

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

convnet

based on cuda-convnet

courseraml

ctg

ctr_prediction

CTR prediction using FM FFM and DeepFM

datastream

deepcas

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deepwalk

DeepWalk - Deep Learning for Graphs

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

disentanglment

Experiments with beta-VAE to learn disentangled representations from the data

gem

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

hpp

line

LINE: Large-scale information network embedding

line-1

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

llamagym

Fine-tune LLM agents with online reinforcement learning

metapath2vec

models

Models and examples built with TensorFlow

netmf

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

node2vec

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

place-pulse

Place Pulse code repository

powerful-gnns

How Powerful are Graph Neural Networks?

press

PRESS is a novel framework of trajectory compression in road networks.

pte

raymondhliu.github.io

personal webpage