CGCL-codes / XGCN_libraryLinks
β52Updated last year
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)β152Updated last year
- Code of GAMLP for Open Graph Benchmark. KDDβ22β62Updated 3 years ago
- β138Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Traininβ¦β65Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.β61Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphsβ125Updated last year
- β19Updated 3 years ago
- [NeurIPS 2024 π₯] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphsβ40Updated 5 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Languaβ¦β59Updated 7 months ago
- Source code and dataset of the paper "Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation",β¦β43Updated last month
- Tail-GNN: Tail-Node Graph Neural Networksβ34Updated 3 years ago
- The source code of SpCoβ34Updated 2 years ago
- Pytorch implementation of EvenNet.β20Updated 2 years ago
- β38Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophilyβ43Updated 2 years ago
- Awesome literature on imbalanced learning on graphsβ76Updated 9 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))β33Updated 2 years ago
- Learning to Count Isomorphisms with Graph Neural Networksβ13Updated 2 years ago
- A paper collection about automated graph learningβ96Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)β38Updated 3 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"β89Updated 2 years ago
- β60Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"β58Updated 3 years ago
- The implementation for DropMessage.β24Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsβ99Updated last year
- an implementation of FastGCN with pytorchβ51Updated 4 years ago
- β13Updated 4 years ago
- The implementation for DropMessage.β37Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"β36Updated last year
- β24Updated 2 years ago