GSL-Benchmark / GSLBLinks
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
☆120Updated last year
Alternatives and similar repositories for GSLB
Users that are interested in GSLB are comparing it to the libraries listed below
Sorting:
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆228Updated last year
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- ☆89Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- Accompanied repositories for our paper Graph foundation model☆217Updated 10 months ago
- ☆183Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated last month
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆41Updated 10 months ago
- A Survey of Learning from Graphs with Heterophily☆148Updated 6 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- List of papers on ICLR 2024☆58Updated last year
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- ☆79Updated 10 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆243Updated 5 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆62Updated 2 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆203Updated 8 months ago
- ☆60Updated 2 years ago
- A collection of graph foundation models including papers, codes, and datasets.☆106Updated 2 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 6 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- ☆129Updated 5 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year