Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 2022).
☆20Oct 14, 2022Updated 3 years ago
Alternatives and similar repositories for GraphDE
Users that are interested in GraphDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Feb 16, 2023Updated 3 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆91Nov 24, 2022Updated 3 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 2 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Oct 20, 2022Updated 3 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 years ago
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22May 7, 2024Updated 2 years ago
- ☆16Sep 10, 2023Updated 2 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"☆25Jul 12, 2024Updated last year
- Official Implementation of "Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts" at EMNLP 202…☆13Oct 27, 2024Updated last year
- This is code for DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection☆47Feb 10, 2025Updated last year
- Simulations for learning-based Conformal Tube MPC in interactive multi-agent systems.☆15May 14, 2026Updated last month
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆41Apr 1, 2022Updated 4 years ago
- This is code for How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis☆18Nov 5, 2025Updated 7 months ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Jul 6, 2023Updated 2 years ago
- CVPR 2022 paper☆16Jun 9, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91May 28, 2024Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 3 years ago
- interactive LTL path planning☆10Oct 3, 2023Updated 2 years ago
- This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…☆36Mar 1, 2023Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency☆16Nov 11, 2024Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆26Mar 17, 2023Updated 3 years ago
- A Python reference implementation of rigid body dynamics algorithms☆18Jul 17, 2023Updated 2 years ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆23Jun 16, 2023Updated 3 years ago
- ☆19Aug 19, 2025Updated 10 months ago
- ☆11Mar 8, 2024Updated 2 years ago
- Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts☆15Feb 26, 2024Updated 2 years ago
- [NeurIPS 2022 Spotlight] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space☆17Nov 20, 2022Updated 3 years ago