FangShuheng

IACS

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 Communities across Graphs]

ProG

A Unified Python Library for Graph Prompting

Awesome-LLMs-in-Graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

Awesome-Graph-Prompt

Awesome Papers About Performing Prompting On Graphs

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

CGNP

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]

Codes-for-Peer-Review-of-VLDB-August-337

For Peer-Review Only

CommunityAF

code for vldb23 "CommunityAF: An Example-based Community Search Method via Autoregressive Flow"

HIRE

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 Prediction]

SafeDrug

IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping

MoleRec

The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

IRLI

Recommender-systems-paper

Paper and notes of Recommender systems.

diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

GraphRec-WWW19

Graph Neural Networks for Social Recommendation, WWW'19

ProNE

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

awesome-graph-structure-learning

A collection of papers on Graph Structural Learning (GSL)

awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

Paper-Writing-Tips

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

reptile-pytorch

A PyTorch implementation of OpenAI's REPTILE algorithm

Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

Reptile-Pytorch-Implementation

learn2learn

A PyTorch Library for Meta-learning Research

non-parametric-transformers

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

PyTorch-GRU-D

PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1606.01865

Recurrent-Neural-Networks-from-scratch-using-PyTorch

LSTM, RNN and GRU implementations using Pytorch

pytorch-GAT

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 entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

graphite

Code for Graphite iterative graph generation

LDS-GNN

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

independent-cascade

The implement of Independent Cascade Model, with different seeds selection algorithms.