GitHub topics: graph-learning
choderalab/espaloma
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
Language: Python - Size: 13.4 MB - Last synced at: about 6 hours ago - Pushed at: about 8 hours ago - Stars: 239 - Forks: 27

pathpy/pathpyG
GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
Language: Python - Size: 346 MB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 44 - Forks: 6

Gkk787578/veloclade
Veloclade is a research prototype of a neuro-symbolic knowledge graph system. It uses clade-inspired hierarchy + embedding clustering (sentence-transformers) to control ontology growth and mitigate subclassing explosion. Designed for experimentation in hybrid reasoning and AI knowledge representation.
Language: Python - Size: 6.84 KB - Last synced at: about 22 hours ago - Pushed at: about 23 hours ago - Stars: 0 - Forks: 0

opencog/learn
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
Language: Scheme - Size: 239 MB - Last synced at: about 22 hours ago - Pushed at: 1 day ago - Stars: 156 - Forks: 37

WxxShirley/LLMNodeBed
[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
Language: Python - Size: 6.14 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 41 - Forks: 1

aidos-lab/Diss-l-ECT
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms
Language: Python - Size: 11.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Zehong-Wang/G2PM
Scalable Graph Generative Modeling via Substructure Sequences
Language: Python - Size: 2.7 MB - Last synced at: 2 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

alibaba/euler
A distributed graph deep learning framework.
Language: C++ - Size: 2.49 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 2,899 - Forks: 558

aimclub/GOLEM
Graph Optimiser for Learning and Evolution of Models
Language: Python - Size: 22.5 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 65 - Forks: 10

mala-lab/AUGCL
Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"
Language: Python - Size: 689 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 7 - Forks: 2

IntelligentSystemsLab/ST-EVCDP
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Language: Python - Size: 12 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 160 - Forks: 37

WxxShirley/GNN4TaskPlan
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
Language: Python - Size: 9.21 MB - Last synced at: 11 days ago - Pushed at: 26 days ago - Stars: 125 - Forks: 10

awslabs/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Language: Python - Size: 4.74 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 1,305 - Forks: 196

ebrahimpichka/GNN-RecSys
Implementation and testing of LightGCN with some variations. Graph-Neural-Network-based recommendation system.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Language: Python - Size: 28.3 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 1,583 - Forks: 312

tensorflow/neural-structured-learning
Training neural models with structured signals.
Language: Python - Size: 28.8 MB - Last synced at: 44 minutes ago - Pushed at: 4 months ago - Stars: 1,004 - Forks: 190

quiver-team/torch-quiver
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Language: Python - Size: 4.95 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 300 - Forks: 37

its-not-rocket-science/veloclade
Veloclade is a research prototype of a neuro-symbolic knowledge graph system. It uses clade-inspired hierarchy + embedding clustering (sentence-transformers) to control ontology growth and mitigate subclassing explosion. Designed for experimentation in hybrid reasoning and AI knowledge representation.
Language: Python - Size: 5.86 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

coperception/coperception
An SDK for multi-agent collaborative perception.
Language: Python - Size: 3.52 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 154 - Forks: 19

aidos-lab/mantra
MANTRA: The Manifold Triangulations Assemblage (A dataset of manifold triangulations)
Language: Python - Size: 24.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 1

HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Language: Python - Size: 8.34 MB - Last synced at: 29 days ago - Pushed at: 12 months ago - Stars: 454 - Forks: 56

rubenwiersma/deltaconv
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 142 - Forks: 10

nngabe/roma
ROMA: Renormalized Operators with Multiscale Attention
Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aidos-lab/mantra-benchmarks
MANTRA: The Manifold Triangulations Assemblage (A dataset of manifold triangulations) — Benchmarks Repository
Language: Python - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

doujiang-zheng/Awesome-Graph-Learning-Papers-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 185 - Forks: 18

wenwenyu/PICK-pytorch
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Language: Python - Size: 9.72 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 563 - Forks: 192

LTS4/graph-learning
Collection of models for learning networks from signals.
Language: Python - Size: 245 KB - Last synced at: about 18 hours ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

HKUDS/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
Language: Python - Size: 36.5 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 712 - Forks: 71

Krv-Analytics/Thema
Our Topological Hyperparameter Evaluation Mapping Algorithm.
Language: Python - Size: 14.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

EdisonLeeeee/Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).
Size: 259 KB - Last synced at: 24 days ago - Pushed at: 9 months ago - Stars: 136 - Forks: 14

BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
Language: Python - Size: 1.61 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 122 - Forks: 22

IntelLabs/GraVi-T
Graph learning framework for long-term video understanding
Language: Python - Size: 529 KB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 60 - Forks: 9

WxxShirley/KDD2024ProCom
Codes and data for KDD 2024 Research Track paper "ProCom: A Few-shot Targeted Community Detection Algorithm"
Language: Python - Size: 17.1 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 9 - Forks: 0

facebookresearch/forwardgnn
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
Language: Python - Size: 425 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 2

YuanchenBei/Awesome-Cold-Start-Recommendation
A curated list of resources on cold-start recommendations.
Size: 1.71 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 146 - Forks: 10

cjpcool/VGMGC
TNNLS "Variational Graph Generator for Multi-View Graph Clustering".
Language: Python - Size: 16.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

tata1661/SimpleSTC-EMNLP22
Codes for SimSTC published in EMNLP 2022.
Language: Python - Size: 477 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

BorgwardtLab/fisher_information_embedding
Official code for Fisher information embedding for node and graph learning (ICML 2023)
Language: Python - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 0

ai4ce/DiscoNet
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
Size: 1.39 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 146 - Forks: 17

wuzelong/ANEBR
Adversarial Network Embedding with Bootstrapped Representations for Sparse Networks
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

wuzelong/RSANE
A Novel Robust Integrating Method by High-order Proximity for Self-supervised Attribute Network Embedding
Language: Jupyter Notebook - Size: 44.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

JohannesMessner/BoxTE
Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970
Language: Python - Size: 32 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 2

huawei-noah/BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Language: Python - Size: 5.78 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 159 - Forks: 46

facebookresearch/taser-tgnn
[IPDPS 2024] Adaptive neighbor sampling for temporal GNN
Language: Python - Size: 48.8 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 11 - Forks: 0

BorgwardtLab/ggme
Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n
Language: Python - Size: 348 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0

HKUDS/LightGNN
[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"
Language: Python - Size: 20.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 2

HKUDS/DiffGraph
[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
Language: Python - Size: 30.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 18 - Forks: 0

mala-lab/TPP
Official code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).
Language: Python - Size: 561 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0

NSLab-CUK/Graph-Neural-Networks-Fall-2024
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 1

kvarun07/asag-gt
Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)
Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1

nngabe/inductive_io
Repo for paper "Inductive detection of Influence Operations via Graph Learning"
Language: Python - Size: 129 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

SajedehLashgari/cMaxDriver
Related files with "cMaxDriver: A Centrality Maximization Intersection Approach for Prediction of Cancer-Causing Genes in the Transcriptional Regulatory Network" paper
Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

MGitHubL/Chinese-Reading-Notes-of-Graph-Learning
Size: 131 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 76 - Forks: 8

SRA2/SPELL
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)
Language: Python - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 9

april211/Conf_Papers_2024
Interesting papers related to graph data mining. (published on ICML, IJCAI, KDD, NeurIPS 2024... )
Language: TeX - Size: 5.37 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 7 - Forks: 0

HKUDS/GraphAug
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
Language: Python - Size: 41.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 16 - Forks: 2

HKUDS/AnyGraph
"AnyGraph: Graph Foundation Model in the Wild"
Language: Python - Size: 26.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 90 - Forks: 5

cornell-zhang/HOGA
Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Language: Python - Size: 635 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 21 - Forks: 2

vantahawk/Graph_Learning_Group6
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
Language: Python - Size: 47.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

n-destin/Graph-Isomorphism-Test
Python implementation of 1-Weisfeiler-Lehman Isomorphism Test algorithm
Language: Python - Size: 3.91 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

theislab/geome
Language: Python - Size: 20.2 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 16 - Forks: 4

Mohammad8921/UniformStabilityOfAdam
All codes of my master thesis conducted under computational learning theory
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

HKUDS/OpenGraph
"OpenGraph: Towards Open Graph Foundation Models"
Language: Python - Size: 60.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 179 - Forks: 15

HKUDS/HiGPT
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
Language: Python - Size: 6.17 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 80 - Forks: 4

HKUDS/GraphEdit
"GraphEdit: Large Language Models for Graph Structure Learning"
Language: Python - Size: 700 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 92 - Forks: 5

junwu6/GraphGP
Graph-Structured Gaussian Processes for Transferable Graph Learning
Language: Python - Size: 17.6 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

tuyanshuai/universal_covering_python
Canonical coordinate by universal covering space
Language: Python - Size: 9.72 MB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

Kali-Hac/3D-skeleton-based-person-re-ID-survey
A professionally curated list of resources (paper, code, data, etc.) on 3D Skeleton Based Person Re-ID.
Size: 581 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

sair-lab/LGL
Lifelong Graph Learning (CVPR 2022 Oral)
Language: Python - Size: 384 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 70 - Forks: 10

NSLab-CUK/Graph-Neural-Networks-Fall-2023
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Language: Jupyter Notebook - Size: 59.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 2

liugangcode/data_centric_transfer
[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
Language: Python - Size: 1.25 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 2

SsGood/MMGL
Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 13

youweiliang/ConsistentGraphLearning
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
Language: MATLAB - Size: 4.91 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 7

EQTPartners/CompanyKG
🔥 CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Language: Python - Size: 444 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 123 - Forks: 5

ocbe-uio/BayesSurvive
Bayesian survival models for high-dimensional data
Language: R - Size: 903 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

NamyongPark/forwardgnn-datasplits
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
Size: 131 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

facebookresearch/glemos
This repository provides code and data for the paper "GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection" (NeurIPS 2023).
Language: Python - Size: 10.8 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

shamim-hussain/egt
Edge-Augmented Graph Transformer
Language: Python - Size: 150 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 7

YuanchenBei/Awesome-Large-Scale-Graph-Learning
A curated list of papers on large-scale graph learning.
Size: 64.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

gu-yaowen/CurrMG
An efficient curriculum learning-based strategy for molecular graph learning
Language: Python - Size: 1.26 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 3

mims-harvard/GNNDelete
General Strategy for Unlearning in Graph Neural Networks
Language: Python - Size: 179 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 31 - Forks: 8

Jack47744/graph_super_resolution
Deep Graph-Based Learning Coursework for generating the super-resolution brain graph at Imperial College London
Language: Jupyter Notebook - Size: 9.49 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
Language: Python - Size: 7.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 6

hamedzeinalzadeh/graph-learning
Graph learning course materials
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

erichoang/criminal-link-prediction
This repository is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. This repository implements inductive link prediction in criminal network analysis, focusing on finding links between new cases and existing nodes.
Language: Python - Size: 86.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

MANDO-Project/ge-sc
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.
Language: Solidity - Size: 2.24 GB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 13

SunLab-GMU/GraphSPD
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.
Language: Shell - Size: 90.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 27 - Forks: 6

gmh14/Geo-DEG
[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
Language: Python - Size: 60.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 3

hugochan/IDGL
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Language: Python - Size: 10.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 198 - Forks: 28

nngabe/renonets
RenONet: Multiscale operator learning for complex social systems
Language: Python - Size: 14.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

cornell-zhang/GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
Language: Python - Size: 18.2 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 105 - Forks: 15

sangttruong/ginrummy
A data-driven approach for Gin Rummy hand evaluation
Language: Java - Size: 147 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 3

SPLab-aviyente/GRASCale
Simultaneous graph signal clustering and multiview graph learning
Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

WU-Guanying/BIND-main
BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)
Language: Python - Size: 19.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mistryishan25/Comprehensive-Project-SEM8
An attempt at understanding conversations from a unified framework of sub-problems
Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

NamyongPark/MetaGL
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning (ICLR 2023)
Language: Python - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

vzantedeschi/Dada
source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 7

kalexandriabond/metaloki
Latent graphs (reward landscapes). Can humans learn them? How?
Language: Jupyter Notebook - Size: 5.37 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

navid-naderi/WEGL
The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 2

gmh14/data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
Language: Jupyter Notebook - Size: 62.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 84 - Forks: 23
