CGCL-codes / XGCN_libraryLinks
β54Updated 7 months ago
Alternatives and similar repositories for XGCN_library
Users that are interested in XGCN_library are comparing it to the libraries listed below
Sorting:
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, π Best Student Paper Award)β157Updated last year
- β137Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.β168Updated 2 years ago
- A multi-backend graph learning library.β243Updated 6 months ago
- Code of GAMLP for Open Graph Benchmark. KDDβ22β63Updated 3 years ago
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"β97Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Traininβ¦β64Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphsβ136Updated last year
- ε¨ζεΎε΅ε ₯ζΉζ³ε¦δΉβ16Updated 4 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"β103Updated 2 years ago
- β133Updated 9 months ago
- Datasets-for-Heterogeneous-Graphβ136Updated 6 years ago
- β183Updated last year
- This is a repository contaning baseline code for DGraphFin Datasetβ136Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.β64Updated 2 years ago
- Deep Graph Outlier Detectionβ67Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)β107Updated 7 months ago
- A paper collection about automated graph learningβ99Updated last year
- Tail-GNN: Tail-Node Graph Neural Networksβ34Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methodsβ123Updated 3 years ago
- β12Updated 2 months ago
- Source code and dataset of the paper "Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation",β¦β51Updated 8 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.β241Updated last year
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGLβ35Updated last year
- Bag of Tricks for Graph Neural Networks.β299Updated last year
- β186Updated last year
- β125Updated 2 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Languaβ¦β72Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.β338Updated 2 years ago
- β63Updated 3 years ago