WeiChen3690's Stars
Lordog/dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
enoche/MultimodalRecSys
A curated list of awesome resources about multimodal recommender systems.
CMACH508/KGDiff
Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance
TamSiuhin/LLM-UM-Reading
A list of large language models for user modeling (LLM-UM) papers.
iLampard/lamp
PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
zjunlp/knowledge-rumination
[EMNLP 2023] Knowledge Rumination for Pre-trained Language Models
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
zjunlp/AutoKG
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
dxxzst/mml-book-chinese
mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版
Ninggirsu/RUN-GNN
The implementation of Relational Rule Enhanced Graph Neural Network (RUN-GNN)
GasolSun36/ToG
[ICLR 2024] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
lijlansg/TrafficGPT
urielsinger/tNodeEmbed
tNodeEmbed
jwzhanggy/Graph_Toolformer
OreOZhao/MoSE4MKGC
Code for "MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion", EMNLP, 2022.
yimingxu24/CLDG
ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs
CameronDiao/relational-transformer
zjukg/NeuralKG
[Tool] For Knowledge Graph Representation Learning
yihong-chen/ReFactorGNN
Implementation for ReFactor GNNs
wondergo2017/DIDA
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
Lee-zix/HiSMatch
This is the offcial code of "HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning"
TamSiuhin/KRACL
Source code for "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"
poi-rec/HMT-GRN
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠