GraphPKU / Refined-GAELinks
Reconsidering the Performance of GAE in Link Prediction
☆16Updated 3 weeks ago
Alternatives and similar repositories for Refined-GAE
Users that are interested in Refined-GAE are comparing it to the libraries listed below
Sorting:
- ☆60Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆87Updated 7 months ago
- ☆91Updated 2 years ago
- List of papers on ICML2023.☆55Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- ☆22Updated 3 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- List of papers on ICLR 2024☆58Updated last year
- ☆14Updated 4 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆47Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Updated 4 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs☆26Updated last year
- ☆137Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆60Updated 2 years ago
- Official code for SPE☆17Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆19Updated last year
- A library for subgraph GNN based on pyg☆39Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 4 years ago
- My learning notes for ML&SYS.☆13Updated last week