guoswang's repositories
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
ChatGLM-Efficient-Tuning
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
DHGNN
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
Fi_GNN
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
GNNPapers
Must-read papers on graph neural networks (GNN)
Graph-LLM
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
GraphSNN
Graph Structured Neural Network
LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.
LR-GCCF
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
MOSS
An open-source tool-augmented conversational language model from Fudan University
NAGphormer-c
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
odps
MaxCompute
PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
powerful-gnns
How Powerful are Graph Neural Networks?
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
SimSGT
[NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
SUREL
[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
TFSegmentation
RTSeg: Real-time Semantic Segmentation Comparative Study
VAE-GMVAE
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
VQGraph-fork
Official implementation of VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
zero_nlp
中文nlp应用(大模型、数据、模型、训练、推理)