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[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
A PyTorch + torch-geometric implementation of IACS, as described in the paper: Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu. [Inductive Attributed Community Search: to Learn Commun…
A Unified Python Library for Graph Prompting
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Awesome Papers About Performing Prompting On Graphs
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A PyTorch + torch-geometric implementation of CGNP, as described in the paper: Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffery Xu Yu. [Community Search: A Meta-Learning Approach]
For Peer-Review Only
code for vldb23 "CommunityAF: An Example-based Community Search Method via Autoregressive Flow"
A PyTorch implementation of HIRE, as described in the paper: Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffery Xu Yu. [All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Pre…
IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping
The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
Paper and notes of Recommender systems.
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Graph Neural Networks for Social Recommendation, WWW'19
Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"
A collection of papers on Graph Structural Learning (GSL)
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
A PyTorch implementation of OpenAI's REPTILE algorithm
Implementation of papers in 100 lines of code.
A PyTorch Library for Meta-learning Research
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1606.01865
LSTM, RNN and GRU implementations using Pytorch
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…