Emory-Melody / Awesome-Graph-Neural-Differential-EquationsLinks
Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
☆25Updated last week
Alternatives and similar repositories for Awesome-Graph-Neural-Differential-Equations
Users that are interested in Awesome-Graph-Neural-Differential-Equations are comparing it to the libraries listed below
Sorting:
- An awesome collection of causality-inspired graph neural networks.☆77Updated 6 months ago
- ☆36Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- A Python library for graph reduction including condensation, coarsening, and sparsification.☆21Updated 2 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆40Updated last year
- A curated list of papers on graph structure learning (GSL).☆50Updated 5 months ago
- ☆100Updated last year
- ☆55Updated 3 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆30Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆29Updated 9 months ago
- ☆57Updated 6 months ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 5 months ago
- ☆35Updated 6 months ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆38Updated 4 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated last year
- Dynamic Graph Benchmark☆80Updated 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…☆39Updated 7 months ago
- Accompanied repositories for our paper Graph foundation model☆205Updated 6 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆20Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆59Updated 7 months ago
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆44Updated last month
- Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …☆56Updated 8 months ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆38Updated 2 years ago