GSL-Benchmark / GSLB
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
☆111Updated last year
Alternatives and similar repositories for GSLB:
Users that are interested in GSLB are comparing it to the libraries listed below
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆205Updated 9 months ago
- ☆86Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆74Updated last year
- Accompanied repositories for our paper Graph foundation model☆190Updated 4 months ago
- A curated list of papers on graph structure learning (GSL).☆43Updated 2 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆109Updated 2 years ago
- ☆169Updated 11 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆42Updated 2 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆93Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Papers about out-of-distribution generalization on graphs.☆166Updated last year
- List of papers on ICLR 2024☆56Updated last year
- ☆70Updated 4 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- ☆125Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆218Updated 9 months ago
- ☆57Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆98Updated 6 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆54Updated 4 months ago
- ☆88Updated last year
- "GraphEdit: Large Language Models for Graph Structure Learning"☆126Updated 8 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆141Updated last week
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 4 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 6 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆34Updated last month
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 9 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆93Updated last year