GNN Papers
Updated on 2025.08.27
| Publish Date | Title | Authors | Code | |
|---|---|---|---|---|
| 2025-08-25 | Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks | Silvia Beddar-Wiesing et.al. | 2508.18052 | null |
| 2025-07-22 | Graph Neural Networks Gone Hogwild | Olga Solodova et.al. | 2407.00494 | null |
| 2025-07-18 | Toward Practical Fluid Antenna Systems: Co-Optimizing Hardware and Software for Port Selection and Beamforming | Sai Xu et.al. | 2507.14035 | null |
| 2025-07-14 | DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning | Kaixiang Zhao et.al. | 2507.05649_(NeurIPS) | null |
| 2025-07-02 | Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs | Kamil Jeziorek et.al. | 2406.07318_(DATE) | null |
| 2025-06-25 | Demystifying Distributed Training of Graph Neural Networks for Link Prediction | Xin Huang et.al. | 2506.20818_(ICDCS) | null |
| 2025-06-06 | Learning the Electronic Hamiltonian of Large Atomic Structures | Chen Hao Xia et.al. | 2501.19110 | null |
| 2025-05-22 | Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems | Wenxuan Zhu et.al. | 2505.16248 | null |
| 2025-05-19 | Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach | Hao Fang et.al. | 2505.12902 | null |
| 2025-05-17 | Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs | Pranjal Naman et.al. | 2505.12112_(DIS) | null |
| 2025-04-28 | Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks | Omid Semiari et.al. | 2504.19499_(ICC) | null |
| 2025-04-22 | GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network | Wenjing Xiao et.al. | 2504.15905 | null |
| 2025-03-29 | ADAGE: Active Defenses Against GNN Extraction | Jing Xu et.al. | 2503.00065 | null |
| 2025-03-04 | Deal: Distributed End-to-End GNN Inference for All Nodes | Shiyang Chen et.al. | 2503.02960 | null |
| 2025-03-04 | Learning Precoding in Multi-user Multi-antenna Systems: Transformer or Graph Transformer? | Yuxuan Duan et.al. | 2503.02998 | null |
| 2025-03-03 | Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic et.al. | 2408.14608_(ICLR) | null |
| 2025-02-25 | Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks | Roger Waleffe et.al. | 2502.17846 | null |
| 2025-02-25 | Sphere Neural-Networks for Rational Reasoning | Tiansi Dong et.al. | 2403.15297 | null |
| 2025-02-20 | MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning | Lavanya Ratnabala et.al. | 2502.02311 | null |
| 2025-02-15 | DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training | Renjie Liu et.al. | 2405.05231 | null |
| 2025-02-13 | Revisiting Topological Interference Management: A Learning-to-Code on Graphs Perspective | Zhiwei Shan et.al. | 2502.09344 | null |
| 2025-02-08 | Graph Neural Network Enabled Pinching Antennas | Xinke Xie et.al. | 2502.05447 | null |
| 2025-01-25 | ReInc: Scaling Training of Dynamic Graph Neural Networks | Mingyu Guan et.al. | 2501.15348 | null |
| 2025-01-15 | OMEGA: A Low-Latency GNN Serving System for Large Graphs | Geon-Woo Kim et.al. | 2501.08547 | null |
| 2024-12-29 | NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism | Xin Ai et.al. | 2412.20379_(VLDB) | null |
| 2024-12-24 | GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network | Xianfeng Song et.al. | 2412.18221 | null |
| 2024-12-20 | X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation | Mohammad Amin Nabian et.al. | 2411.17164 | null |
| 2024-12-19 | Answer Set Networks: Casting Answer Set Programming into Deep Learning | Arseny Skryagin et.al. | 2412.14814 | null |
| 2024-12-10 | GSM: A GNN-based Space-MIMO Framework for Direct-to-Cell Communications | Sai Xu et.al. | 2412.07555 | null |
| 2024-12-08 | Fully Distributed Online Training of Graph Neural Networks in Networked Systems | Rostyslav Olshevskyi et.al. | 2412.06105 | null |
| 2024-11-25 | A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference | Pol Puigdemont et.al. | 2411.16342_(ASP-DAC) | null |
| 2024-11-25 | DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs | Jiahui Liu et.al. | 2411.16127 | null |
| 2024-11-21 | Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics | Oluwole Jaiyeoba et.al. | 2411.14554_(FPT) | null |
| 2024-11-01 | Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN | Massimiliano Lupo Pasini et.al. | 2406.12909 | null |
| 2024-09-29 | Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning | Shreyas Muthusamy et.al. | 2409.19829_(ICRA) | null |
| 2024-09-18 | Retrofitting Temporal Graph Neural Networks with Transformer | Qiang Huang et.al. | 2409.05477 | null |
| 2024-09-17 | Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study | Nikolai Merkel et.al. | 2409.11129_(VLDB) | null |
| 2024-09-06 | Cooperative Minibatching in Graph Neural Networks | Muhammed Fatih Balin et.al. | 2310.12403_(ICML) | link |
| 2024-09-05 | Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant | Sam Alexander Martino et.al. | 2312.14847 | null |
| 2024-08-20 | Heta: Distributed Training of Heterogeneous Graph Neural Networks | Yuchen Zhong et.al. | 2408.09697 | null |
| 2024-08-13 | GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters | Jaeyong Song et.al. | 2311.06837 | null |
| 2024-08-12 | An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training | Nikolai Merkel et.al. | 2308.15602_(EDBT) | null |
| 2024-07-21 | LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme | Jeongmin Brian Park et.al. | 2407.15264 | null |
| 2024-07-19 | TorchGT: A Holistic System for Large-scale Graph Transformer Training | Meng Zhang et.al. | 2407.14106_(Networking) | null |
| 2024-07-11 | Robust Generalization of Graph Neural Networks for Carrier Scheduling | Daniel F. Perez-Ramirez et.al. | 2407.08479 | null |
| 2024-07-01 | Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning | Wenhua Wang et.al. | 2407.02342 | link |
| 2024-06-27 | GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism | Sandeep Polisetty et.al. | 2303.13775 | null |
| 2024-06-20 | Reducing Memory Contention and I/O Congestion for Disk-based GNN Training | Qisheng Jiang et.al. | 2406.13984_(ICPP) | null |
| 2024-06-14 | GraphFM: A Comprehensive Benchmark for Graph Foundation Model | Yuhao Xu et.al. | 2406.08310 | null |
| 2024-04-23 | NMBEnet: Efficient Near-field mmWave Beam Training for Multiuser OFDM Systems Using Sub-6 GHz Pilots | Wang Liu et.al. | 2404.15469 | null |
| 2024-04-19 | Distributed Matrix-Based Sampling for Graph Neural Network Training | Alok Tripathy et.al. | 2311.02909_(CHI) | null |
| 2024-04-08 | Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems | Ao Zhou et.al. | 2404.05605_(DAC) | null |
| 2024-04-02 | CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks | Xin Huang et.al. | 2404.02300 | null |
| 2024-03-24 | FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training | Kezhao Huang et.al. | 2301.07482_(VLDB) | null |
| 2024-03-20 | Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective | Hao Yuan et.al. | 2311.13279_(VLDB) | null |
| 2024-03-19 | MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training | Hongwu Peng et.al. | 2312.08656_(ASPLOS) | null |
| 2024-03-19 | Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems | Anthony Goeckner et.al. | 2403.13093 | null |
| 2024-03-06 | Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses | Jeongmin Brian Park et.al. | 2306.16384_(ISS) | link |
| 2024-02-17 | Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices | Qiying Pan et.al. | 2303.00492_(ICDE) | null |
| 2024-02-08 | A GNN Approach for Cell-Free Massive MIMO | Lou Salaun et.al. | 2403.12062 | null |
| 2024-02-06 | Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations | Yutack Park et.al. | 2402.03789 | null |
| 2024-02-05 | Single-GPU GNN Systems: Traps and Pitfalls | Yidong Gong et.al. | 2402.03548 | null |
| 2024-01-06 | GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs | Zhongshu Zhu et.al. | 2401.03114 | null |
| 2023-12-13 | Adversarial Attacks on Graph Neural Networks based Spatial Resource Management in P2P Wireless Communications | Ahmad Ghasemi et.al. | 2312.08181 | null |
| 2023-12-12 | NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments | Xin Ai et.al. | 2311.13225 | null |
| 2023-11-30 | GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs | Yuchen Zhong et.al. | 2311.17410 | null |
| 2023-11-25 | HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) | Qiange Wang et.al. | 2311.14898_(SIGMOD) | null |
| 2023-11-07 | Cooperative Network Learning for Large-Scale and Decentralized Graphs | Qiang Wu et.al. | 2311.02117 | null |
| 2023-10-02 | Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance | Jie Sun et.al. | 2310.00837 | null |
| 2023-09-27 | Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis | Wenxuan Ye et.al. | 2309.05525_(GLOBECOM) | null |
| 2023-09-24 | GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism | Jingji Chen et.al. | 2308.10087 | null |
| 2023-09-18 | Asynchronous Perception-Action-Communication with Graph Neural Networks | Saurav Agarwal et.al. | 2309.10164_(ICRA) | null |
| 2023-09-01 | Tango: rethinking quantization for graph neural network training on GPUs | Shiyang Chen et.al. | 2308.00890 | null |
| 2023-08-29 | Everything Perturbed All at Once: Enabling Differentiable Graph Attacks | Haoran Liu et.al. | 2308.15614 | null |
| 2023-08-25 | Distributed Graph Neural Network Training: A Survey | Yingxia Shao et.al. | 2211.00216 | null |
| 2023-08-19 | Multidimensional Graph Neural Networks for Wireless Communications | Shengjie Liu et.al. | 2212.11531 | null |
| 2023-08-09 | GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters | Guillermo Bernárdez et.al. | 2308.04905 | null |
| 2023-07-31 | See What the Robot Can’t See: Learning Cooperative Perception for Visual Navigation | Jan Blumenkamp et.al. | 2208.00759_(IROS) | null |
| 2023-06-23 | BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs | Loc Hoang et.al. | 2306.13814_(ISS) | null |
| 2023-06-21 | RiskNet: Neural Risk Assessment in Networks of Unreliable Resources | Krzysztof Rusek et.al. | 2201.12263 | null |
| 2023-06-12 | Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training | Jie Sun et.al. | 2305.16588 | null |
| 2023-06-08 | PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation | Ziyang Liu et.al. | 2306.04095 | null |
| 2023-06-02 | Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training | Borui Wan et.al. | 2306.01381 | null |
| 2023-05-27 | GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets | Junhyeok Jang et.al. | 2305.17469 | null |
| 2023-05-27 | AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs | Yangjie Zhou et.al. | 2305.17408 | null |
| 2023-05-18 | Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness | Zeyuan Tan et.al. | 2305.10863 | null |
| 2023-05-16 | Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning | Mohammed Sharafath Abdul Hameed et.al. | 2009.03836 | null |
| 2023-05-14 | Graph Neural Networks-Based User Pairing in Wireless Communication Systems | Sharan Mourya et.al. | 2306.00717 | null |
| 2023-05-12 | Learning to Code on Graphs for Topological Interference Management | Zhiwei Shan et.al. | 2305.07186 | null |
| 2023-05-04 | Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching | Tim Kaler et.al. | 2305.03152 | link |
| 2023-04-28 | Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs | Ognjen Kundacina et.al. | 2304.14680 | null |
| 2023-04-26 | SCV-GNN: Sparse Compressed Vector-based Graph Neural Network Aggregation | Nanda K. Unnikrishnan et.al. | 2304.13532 | null |
| 2023-04-14 | SEA: A Scalable Entity Alignment System | Junyang Wu et.al. | 2304.07065_(SIGIR) | null |
| 2023-03-01 | HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture | Yi-Chien Lin et.al. | 2303.00158_(DIS) | null |
| 2023-02-24 | Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning | Ryan Kortvelesy et.al. | 2302.12826 | null |
| 2023-02-21 | SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning | Zihao Ye et.al. | 2207.04606_(ASPLOS) | link |
| 2023-02-13 | Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment | Shiwei Zhang et.al. | 2302.06126_(DIS) | null |
| 2023-01-23 | Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense | Elijah S. Lee et.al. | 2301.09689 | null |
| 2022-12-23 | Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications | Xiaoxia Xu et.al. | 2204.13766 | null |
| 2022-11-23 | Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach | Chang Liu et.al. | 2211.12644 | null |
| 2022-11-08 | Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators | Jenna A. Bilbrey et.al. | 2211.04598_(CHI) | null |
| 2022-11-07 | ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery | Andac Demir et.al. | 2211.03808_(NeurIPS) | null |
| 2022-11-04 | Graph Neural Networks for Wireless Communications: From Theory to Practice | Yifei Shen et.al. | 2203.10800 | null |
| 2022-10-11 | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | Roger Waleffe et.al. | 2202.02365 | null |
| 2022-09-29 | Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs | Meng Qin et.al. | 2209.14825 | null |
| 2022-09-26 | Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion | Xiaodong Yi et.al. | 2209.12769 | null |
| 2022-09-24 | Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks | Elijah S. Lee et.al. | 2211.01757 | null |
| 2022-09-14 | Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection | Lifeng Zhou et.al. | 2105.08601 | null |
| 2022-08-19 | Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching | Yeonhong Park et.al. | 2208.09151_(VLDB) | null |
| 2022-08-19 | Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation | Sichun Luo et.al. | 2208.09375 | null |
| 2022-08-19 | Graph Neural Network Based Node Deployment for Throughput Enhancement | Yifei Yang et.al. | 2209.06905 | null |
| 2022-08-16 | GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing | Zhe Zhou et.al. | 2111.00680_(PACT) | null |
| 2022-07-27 | Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities | José Suárez-Varela et.al. | 2112.14792 | null |
| 2022-07-20 | Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications | Ryien Hosseini et.al. | 2207.09955 | null |
| 2022-06-21 | Nimble GNN Embedding with Tensor-Train Decomposition | Chunxing Yin et.al. | 2206.10581_(DIS) | null |
| 2022-06-17 | Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network | Zhan Ma et.al. | 2206.13905 | null |
| 2022-06-06 | Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks | Ognjen Kundacina et.al. | 2206.02731 | null |
| 2022-05-25 | Robust Reinforcement Learning on Graphs for Logistics optimization | Zangir Iklassov et.al. | 2205.12888_(ICS) | null |
| 2022-04-29 | Large-Scale Graph Reinforcement Learning in Wireless Control Systems | Vinicius Lima et.al. | 2201.09859 | null |
| 2022-04-24 | Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution | Philipp Dominic Siedler et.al. | 2204.11350_(ICLR) | null |
| 2022-04-11 | Training Graph Neural Networks with 1000 Layers | Guohao Li et.al. | 2106.07476_(ICML) | link |
| 2022-03-16 | Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining | Tim Kaler et.al. | 2110.08450 | link |
| 2022-03-13 | Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs | Da Zheng et.al. | 2112.15345 | null |
| 2022-02-16 | SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning | Zihui Xue et.al. | 2202.00075 | null |
| 2022-02-15 | Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks | Pei Li et.al. | 2202.07115 | null |
| 2021-12-24 | Architectural Implications of Graph Neural Networks | Zhihui Zhang et.al. | 2009.00804_(CHI) | null |
| 2021-12-22 | HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform | Yi-Chien Lin et.al. | 2112.11684 | null |
| 2021-12-16 | BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing | Tianfeng Liu et.al. | 2112.08541 | null |
| 2021-12-14 | The Power of Communication in a Distributed Multi-Agent System | Philipp Dominic Siedler et.al. | 2111.15611_(NeurIPS) | null |
| 2021-11-14 | Decentralized Inference with Graph Neural Networks in Wireless Communication Systems | Mengyuan Lee et.al. | 2104.09027 | null |
| 2021-11-10 | Graph Neural Network Training with Data Tiering | Seung Won Min et.al. | 2111.05894 | null |
| 2021-11-05 | Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks | Ting-Kuei Hu et.al. | 2106.13358 | null |
| 2021-10-17 | MG-GCN: Scalable Multi-GPU GCN Training Framework | Muhammed Fatih Balın et.al. | 2110.08688 | null |
| 2021-09-16 | Efficient Scaling of Dynamic Graph Neural Networks | Venkatesan T. Chakaravarthy et.al. | 2109.07893_(SC) | null |
| 2021-09-08 | FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks | Chaoyang He et.al. | 2104.07145_(CHI) | null |
| 2021-08-20 | LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis | Fan Wu et.al. | 2108.06504 | null |
| 2021-08-02 | DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs | Da Zheng et.al. | 2010.05337 | null |
| 2021-07-30 | Learning Connectivity for Data Distribution in Robot Teams | Ekaterina Tolstaya et.al. | 2103.05091 | null |
| 2021-05-25 | Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads | John Thorpe et.al. | 2105.11118_(OSDI) | null |
| 2021-05-12 | Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution | Robert A. Barton et.al. | 2105.05957_(WWW) | null |
| 2021-05-10 | Scalable Graph Neural Network-based framework for identifying critical nodes and links in Complex Networks | Sai Munikoti et.al. | 2012.15725 | null |
| 2021-04-25 | Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning | Qingbiao Li et.al. | 2011.13219_(ICS) | null |
| 2021-01-20 | PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses | Seung Won Min et.al. | 2101.07956 | null |
| 2020-12-10 | VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms | Ting-Kuei Hu et.al. | 2002.02308 | null |
| 2020-10-23 | Hybrid Models for Learning to Branch | Prateek Gupta et.al. | 2006.15212_(NeurIPS) | null |
| 2020-10-05 | Accurate, Efficient and Scalable Training of Graph Neural Networks | Hanqing Zeng et.al. | 2010.03166 | null |
| 2020-09-29 | FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems | Yuwei Hu et.al. | 2008.11359_(SC) | null |
| 2020-07-14 | Graph Neural Networks for Decentralized Multi-Robot Path Planning | Qingbiao Li et.al. | 1912.06095_(IROS) | link |
| 2020-03-16 | AGL: a Scalable System for Industrial-purpose Graph Machine Learning | Dalong Zhang et.al. | 2003.02454 | null |
| 2020-03-13 | Automating Botnet Detection with Graph Neural Networks | Jiawei Zhou et.al. | 2003.06344 | link |
| 2020-02-25 | MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit | John Palowitch et.al. | 1909.11793 | null |
| 2019-11-16 | Concurrent Distributed Serving with Mobile Servers | Abdolhamid Ghodselahi et.al. | 1902.07354_(ISAAC) | null |
| 2018-10-29 | Mean-field theory of graph neural networks in graph partitioning | Tatsuro Kawamoto et.al. | 1810.11908_(NIPS) | null |