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  • Monash University
  • Melbourne, Australia

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Geometric Latent Diffusion Models for 3D Molecule Generation

Python 230 44 Updated Jun 9, 2023

A trainable PyTorch reproduction of AlphaFold 3.

Python 940 88 Updated Feb 20, 2025

[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…

Jupyter Notebook 6,659 435 Updated Jan 12, 2025

Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".

Python 102 12 Updated Oct 28, 2024

[NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning

Python 16 3 Updated Nov 12, 2024
Python 290 30 Updated Feb 23, 2025

[CIKM'24] Noise-Resilient UGRL

Python 7 1 Updated Oct 22, 2024

The official GitHub page for the survey paper "Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond". And this paper is under review.

165 9 Updated Nov 14, 2024

Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark

Python 44 3 Updated Oct 2, 2024

COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24

Python 111 2 Updated Nov 14, 2024

[CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation

Python 13 3 Updated Sep 20, 2024

Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"

Python 15 Updated Mar 23, 2024

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

Python 153 16 Updated Oct 25, 2024

GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks

Python 97 14 Updated Aug 27, 2024

GOODAT: Towards Test-time Graph Out-of-Distribution Detection

Python 8 Updated Mar 18, 2024

"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023

Python 106 15 Updated Jun 25, 2024

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

Python 37 2 Updated Apr 28, 2024
Python 52 2 Updated Sep 26, 2024

Fake position for IOS17 虚拟定位 支持IOS17

Shell 184 23 Updated Feb 10, 2025

A curated list of causal reinforcement learning resources.

72 3 Updated Dec 16, 2023

Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"

Python 29 2 Updated Oct 6, 2023

Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"

Python 18 Updated Mar 21, 2024

A collection of AWESOME things about Graph-Related LLMs.

1,996 141 Updated Feb 22, 2025

List of papers on NeurIPS2023

Python 89 2 Updated Nov 15, 2023

[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection

Python 23 3 Updated Jul 18, 2024

Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection

Python 12 2 Updated May 9, 2024

A Pytorch implementation of missing data imputation using optimal transport.

Jupyter Notebook 96 14 Updated Jun 20, 2021

A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)

35 4 Updated Sep 23, 2023

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

Python 421 94 Updated Jul 13, 2024
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