Trending repositories for topic graph-neural-networks
Repository for benchmarking graph neural networks
Anomaly detection related books, papers, videos, and toolboxes
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured ...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured ...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
A pytorch library for graph and hypergraph computation.
Repository for benchmarking graph neural networks
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Anomaly detection related books, papers, videos, and toolboxes
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python package built to ease deep learning on graph, on top of existing DL frameworks.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
A Python Library for Graph Outlier Detection (Anomaly Detection)
A powerful and flexible machine learning platform for drug discovery
Repository for benchmarking graph neural networks
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Repository for the CoRL 2024 paper: Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision.
Anti Money Laundering Detection using Graph Attention Network
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
Mixed continous/categorical flow-matching model for de novo molecule generation.
This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
A pytorch library for graph and hypergraph computation.
Summary of open source code for deep learning models in the field of traffic prediction
A Python Library for Graph Outlier Detection (Anomaly Detection)
Anomaly detection related books, papers, videos, and toolboxes
Python package built to ease deep learning on graph, on top of existing DL frameworks.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
A Python Library for Graph Outlier Detection (Anomaly Detection)
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Repository for the CoRL 2024 paper: Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
PoweFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Mixed continous/categorical flow-matching model for de novo molecule generation.
[EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
Code for ACL 2023 paper "HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification"
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable...
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain...
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A Comprehensive Survey of Self-Supervised Learning for Recommendation
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody D...
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Anomaly detection related books, papers, videos, and toolboxes
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
links to conference publications in graph-based deep learning
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
"GraphEdit: Large Language Models for Graph Structure Learning"
A Comprehensive Survey of Self-Supervised Learning for Recommendation
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
Mixed continous/categorical flow-matching model for de novo molecule generation.
Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain...
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
Fusion of protein sequence and structural information, using denoising pre-training network for zero-shot protein engineering (eLife 2024).
[IEEE RA-L 2024] This repository contains the implementation code for the paper "P-GAT : Pose-Graph Attentional Network for Lidar Place Recognition".
Repository for the CoRL 2024 paper: Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision.
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Anti Money Laundering Detection using Graph Attention Network
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
A curated list of papers on graph structure learning (GSL).
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation