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
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)…☆62Feb 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
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Aug 28, 2023Updated 2 years ago
- ☆11Nov 8, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆207Feb 21, 2025Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆23Oct 16, 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
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆22May 7, 2024Updated last year
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- ☆12Jan 10, 2023Updated 3 years ago
- Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"☆25Jul 12, 2024Updated last year
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""☆10Mar 20, 2021Updated 5 years ago
- 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 How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis☆15Nov 5, 2025Updated 4 months ago
- Code listing for the paper 'SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detec…☆10Nov 1, 2021Updated 4 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆39Apr 1, 2022Updated 3 years 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 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90May 28, 2024Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency☆15Nov 11, 2024Updated last year
- An assemble of various world model including dreamer v2 and v3☆10Sep 9, 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
- Raft 分布式共识(Consensus)算法(Demo级别)实现☆12Aug 23, 2016Updated 9 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆45Nov 13, 2023Updated 2 years ago
- Official repository for paper: OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents☆33Mar 8, 2026Updated 2 weeks ago
- Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv pr…☆14Jul 25, 2024Updated last year
- [ICLR 2025] Official implementation of "Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting"☆28Oct 30, 2025Updated 4 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Jun 16, 2023Updated 2 years ago