qq-jiang's repositories
awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
backdoor-learning-resources
A list of backdoor learning resources
blink_gnn
Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
dp-gnn
DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
eth-phishing-detect
Utility for detecting phishing domains targeting Web3 users
GIMLET
The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
GPF
The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
Graph-LLM
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
GraphEdit
"GraphEdit: Large Language Models for Graph Structure Learning"
GraphGPT
"GraphGPT: Graph Instruction Tuning for Large Language Models"
GraphPrompt
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Meta-GDN_AnomalyDetection
Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
MMRec-
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
PETS-edge-DP-Eclipse
Source code of "Edge Private Graph Neural Networks with Singular Value Perturbation" [PETS 2024]
PixelRec-MMRec-
A Large-scale Multimodal Dataset for recommender System
privacy
Library for training machine learning models with privacy for training data
PromptMM
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
TAPE
Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"