XiaoxinHe / iclr2024_learning_on_graphsLinks
List of papers on ICLR 2024
☆58Updated last year
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
Sorting:
- ☆89Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆203Updated 8 months ago
- List of papers on ICML2023.☆55Updated 2 years ago
- ☆57Updated 11 months ago
- Accompanied repositories for our paper Graph foundation model☆217Updated 10 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆64Updated 10 months ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- ☆129Updated 5 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆228Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- 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
- ☆183Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- ☆48Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆98Updated 10 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated last month
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- ☆97Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- List of papers on NeurIPS2023☆89Updated last year