XiaoxinHe / iclr2024_learning_on_graphs
List of papers on ICLR 2024
☆55Updated 10 months ago
Alternatives and similar repositories for iclr2024_learning_on_graphs:
Users that are interested in iclr2024_learning_on_graphs are comparing it to the libraries listed below
- ☆82Updated last year
- List of papers on ICML2023.☆55Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆103Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 3 weeks ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆111Updated 10 months ago
- ☆87Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆89Updated last year
- Accompanied repositories for our paper Graph foundation model☆172Updated 2 months ago
- List of papers on NeurIPS2023☆88Updated last year
- ☆48Updated 3 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆53Updated 2 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆119Updated 10 months ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆16Updated last year
- Code for our paper "Attending to Graph Transformers"☆84Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- ☆41Updated 5 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆41Updated 2 weeks ago
- ☆122Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆28Updated 7 months ago
- ☆166Updated 9 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- A curated list of papers on graph structure learning (GSL).☆41Updated 2 weeks ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆82Updated 2 months ago
- Papers about out-of-distribution generalization on graphs.☆163Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆181Updated 2 weeks ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆154Updated last year