myflashbarry / LLM-benchmarkingLinks
☆16Updated 8 months ago
Alternatives and similar repositories for LLM-benchmarking
Users that are interested in LLM-benchmarking are comparing it to the libraries listed below
Sorting:
- Benchmark☆105Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆34Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated 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…☆42Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- ☆26Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Updated 3 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆37Updated 6 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆64Updated 10 months ago
- ☆27Updated 3 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆41Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆26Updated 9 months ago
- ☆59Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated 2 years ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆15Updated 10 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆67Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆35Updated 9 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆16Updated 2 years ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆16Updated 5 months ago
- ☆51Updated 11 months ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 10 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆46Updated 4 months ago
- ☆24Updated last year