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Monash University
- Melbourne, Australia
Stars
Geometric Latent Diffusion Models for 3D Molecule Generation
A trainable PyTorch reproduction of AlphaFold 3.
[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…
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
[NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning
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.
Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
[CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation
Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
A curated list of causal reinforcement learning resources.
Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"
A collection of AWESOME things about Graph-Related LLMs.
List of papers on NeurIPS2023
[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
A Pytorch implementation of missing data imputation using optimal transport.
A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"