Topic: graph-learning Goto Github
Some thing interesting about graph-learning
Some thing interesting about graph-learning
graph-learning,[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
Organization: ai4ce
graph-learning,Graph Optimiser for Learning and Evolution of Models
Organization: aimclub
Home Page: https://thegolem.readthedocs.io
graph-learning,A distributed graph deep learning framework.
Organization: alibaba
graph-learning,High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Organization: awslabs
Home Page: https://dglke.dgl.ai/doc/
graph-learning,Official code for Fisher information embedding for node and graph learning (ICML 2023)
Organization: borgwardtlab
graph-learning,Topological Graph Neural Networks (ICLR 2022)
Organization: borgwardtlab
Home Page: https://openreview.net/pdf?id=oxxUMeFwEHd
graph-learning,Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
Organization: choderalab
Home Page: https://docs.espaloma.org/en/latest/
graph-learning,An SDK for multi-agent collaborative perception.
Organization: coperception
graph-learning,GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
Organization: cornell-zhang
graph-learning,Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Organization: cornell-zhang
graph-learning,Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
User: doujiang-zheng
graph-learning,Paper List for Fair Graph Learning (FairGL).
User: edisonleeeee
graph-learning,🔥 CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Organization: eqtpartners
Home Page: https://arxiv.org/abs/2306.10649
graph-learning,[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
User: gmh14
Home Page: https://openreview.net/forum?id=l4IHywGq6a
graph-learning,[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
User: gmh14
Home Page: https://proceedings.mlr.press/v202/guo23h.html
graph-learning,An efficient curriculum learning-based strategy for molecular graph learning
User: gu-yaowen
graph-learning,PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
Organization: hipgraph
graph-learning,"GraphEdit: Large Language Models for Graph Structure Learning"
User: hkuds
Home Page: https://arxiv.org/abs/2402.15183
graph-learning,[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
User: hkuds
Home Page: https://arxiv.org/abs/2310.13023
graph-learning,"HiGPT: Heterogenous Graph Language Models"
User: hkuds
Home Page: https://higpt-hku.github.io
graph-learning,[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2311.00423
graph-learning,"OpenGraph: Towards Open Graph Foundation Models"
User: hkuds
Home Page: https://arxiv.org/abs/2403.01121
graph-learning,A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Organization: huawei-noah
Home Page: https://arxiv.org/abs/1811.11103
graph-learning,Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
User: hugochan
graph-learning,Graph learning framework for long-term video understanding
Organization: intellabs
graph-learning,This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.
User: intelligentsystemslab
graph-learning,Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970
User: johannesmessner
graph-learning,Multi-class Classification with fine-tuned BERT & GNN
User: joshchang1112
graph-learning,MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
Organization: mando-project
graph-learning,MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
Organization: mando-project
graph-learning,General Strategy for Unlearning in Graph Neural Networks
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/GNNDelete
graph-learning,The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
User: navid-naderi
Home Page: https://openreview.net/forum?id=AAes_3W-2z
graph-learning,Neuro-symbolic interpretation learning (mostly just language-learning, for now)
Organization: opencog
Home Page: https://wiki.opencog.org/w/Language_learning
graph-learning,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Organization: paddlepaddle
graph-learning,GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
Organization: pathpy
Home Page: https://www.pathpy.net
graph-learning,PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Organization: quiver-team
Home Page: https://torch-quiver.readthedocs.io/en/latest/
graph-learning,Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
User: rubenwiersma
graph-learning,Lifelong Graph Learning (CVPR 2022 Oral)
Organization: sair-lab
graph-learning,Edge-Augmented Graph Transformer
User: shamim-hussain
graph-learning,Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)
User: sra2
graph-learning,Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)
User: ssgood
graph-learning,The official repository of "GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics". The paper will appear in the IEEE Symposium on Security and Privacy (S&P), San Francisco, CA, May 22-26, 2023.
Organization: sunlab-gmu
Home Page: https://github.com/SunLab-GMU/GraphSPD
graph-learning,Parallelized Binary embedding GENerator for Attributed graphs
User: tapadeep
graph-learning,Training neural models with structured signals.
Organization: tensorflow
Home Page: https://www.tensorflow.org/neural_structured_learning
graph-learning,
Organization: theislab
Home Page: https://geome.readthedocs.io/en/latest/
graph-learning,[ICLR 2022] Graph-Relational Domain Adaptation
Organization: wang-ml-lab
graph-learning,Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
User: wenwenyu
Home Page: https://arxiv.org/abs/2004.07464
graph-learning,MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
User: youweiliang
graph-learning,Code for the paper "Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency"
User: youweiliang
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