Stars
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
SDG: A Simplified and Dynamic Graph Neural Network, SIGIR 2021
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
Local Motif Clustering on Time-Evolving Graphs, KDD 2020
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
A curated list of resources for graph prompting methods
A Library for Advanced Deep Time Series Models.
[ACL 2023] Reasoning with Language Model Prompting: A Survey
A collection of AWESOME things about domian adaptation
Causal Inference and Discovery in Python by Packt Publishing
This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"
A Unified Python Library for Graph Prompting
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
An implementation of a deep learning recommendation model (DLRM)
virtual node analysis on ogb benchmark dataset
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023.
Crawl & visualize ICLR papers and reviews