fedebotu / clone-anonymous-githubLinks
Easily download anonymous Github repositories from https://anonymous.4open.science/ with a GUI interface
☆97Updated last year
Alternatives and similar repositories for clone-anonymous-github
Users that are interested in clone-anonymous-github are comparing it to the libraries listed below
Sorting:
- clone/download repositories from https://anonymous.4open.science/☆86Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- A Survey of Direct Preference Optimization (DPO)☆42Updated this week
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆99Updated last year
- Source code for Learn Locally Correct Globally☆14Updated 3 years ago
- ☆28Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Accepted Journal/Conference Paper Lists☆151Updated 2 years ago
- [NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning☆49Updated 7 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆59Updated 7 months ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆72Updated last year
- ☆24Updated 2 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆89Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆37Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆21Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆114Updated last year
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆33Updated last year
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆24Updated last year
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Official Repo of SimTeG☆42Updated last year
- An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)☆10Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 8 months ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆48Updated 3 months ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆17Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- This paper is accpeted by WSDM 2023☆13Updated 2 years ago