zza1998 / NerualRRFLinks
nerual network enhanced global ilumination with Unity
☆12Updated last year
Alternatives and similar repositories for NerualRRF
Users that are interested in NerualRRF are comparing it to the libraries listed below
Sorting:
- vulkan graphic engine for learning☆12Updated 5 months ago
- ☆12Updated 7 months ago
- ☆15Updated last year
- A Survey of Learning from Graphs with Heterophily☆140Updated 3 months ago
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆30Updated 8 months ago
- ☆80Updated 6 months ago
- ☆10Updated 2 months ago
- ☆10Updated 3 months ago
- TransGNN, SIGIR 2024☆53Updated 10 months ago
- Code for OGC and GGCM☆14Updated 8 months ago
- ☆23Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆120Updated 11 months ago
- Data repository for PyGOD☆41Updated last year
- ☆16Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆126Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆51Updated 2 weeks ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆192Updated last month
- ☆35Updated 6 months ago
- A multi-backend graph learning library.☆241Updated 3 weeks ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆63Updated last year
- ☆13Updated last month
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- ☆176Updated last year
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆16Updated this week
- Benchmark☆98Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Updated last year
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆21Updated 2 months ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆50Updated 8 months ago
- ☆18Updated 4 months ago