yuanchenbei Goto Github PK

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-click-through-rate-prediction

A curated list of papers on click-through-rate (CTR) prediction.

awesome-cold-start-recommendation

A curated list of papers on cold-start recommendations.

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

awesome-deep-graph-learning-for-drug-discovery

A curated list of papers on deep graph learning for drug discovery (DGL4DD).

awesome-graph-structure-learning

A curated list of papers on graph structure learning (GSL).

awesome-graph-transfer-learning

A curated list of papers on graph transfer learning (GTL).

awesome-large-scale-graph-learning

A curated list of papers on large-scale graph learning.

awesome-multi-label-learning-on-graphs

A curated list of papers on multi-label learning on graphs (MLLG).

awesome-pretraining-for-graph-neural-networks

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-self-supervised-learning-on-graphs-with-heterophily

A curated list of Heterophilous Graph Self-Supervised Learning papers.

belle

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

cgipool

coldrec

ColdRec: An Open-Source Benchmark Toolbox for Cold-Start Recommendation.

cpdg

This is the source code of CPDG (A contrastive pre-training method for dynamic graph neural networks).

database-coursedesign

暨南大学《数据库系统原理》课程设计-奖学金信息管理系统

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deepclustering

Methods and Implements of Deep Clustering

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

digitalimageprocessing-coursedesign

暨南大学《数字图像处理》课程实验-频域滤波器&双边滤波器

dssm-pytorch

flatgcn

This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation, DLP-KDD 2022).

gcn_anomalydetection_pytorch

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphtransformer-dgraphfin

This is the Graph Transformer solution for DGraphFin leaderboard.

gxn

Graph Cross Network