gdmnl / SCARA-PPR
The original code for SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization (VLDB 2022) and Scalable Decoupling Graph Neural Networks with Feature-Oriented Optimization (VLDBJ 2023)
☆13Updated 10 months ago
Alternatives and similar repositories for SCARA-PPR:
Users that are interested in SCARA-PPR are comparing it to the libraries listed below
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆26Updated 3 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 3 years ago
- Approximate Graph Propagation☆11Updated 3 years ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Updated 2 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated last year
- ☆21Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆77Updated last month
- ☆55Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- ☆37Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆103Updated last year
- ☆100Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆42Updated last month
- ☆28Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Code repository for the VLDB2023 paper "Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank".☆10Updated 8 months ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆47Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- ☆77Updated 2 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆40Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆119Updated 2 years ago
- ☆54Updated 4 years ago