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# arxiv-daily
自动更新 @ 2024-01-28 16:07:54 Asia/Shanghai
自动更新 @ 2024-01-29 16:08:20 Asia/Shanghai

## Group Recommendation

### Group
|Publish Date|Title|Author|PDF|Code|
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-24 21:48:26**|**Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation**|Ludovico Boratto et.al.|[2401.13823v1](http://arxiv.org/abs/2401.13823v1)|[link](https://github.com/jackmedda/cpfairrobust)|
|**2024-01-26 15:23:25**|**Macro Graph Neural Networks for Online Billion-Scale Recommender Systems**|Hao Chen et.al.|[2401.14939v1](http://arxiv.org/abs/2401.14939v1)|null|
|**2024-01-24 21:48:26**|**Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation**|Ludovico Boratto et.al.|[2401.13823v2](http://arxiv.org/abs/2401.13823v2)|[link](https://github.com/jackmedda/cpfairrobust)|
|**2024-01-24 16:23:14**|**A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation**|Ludovico Boratto et.al.|[2401.13566v1](http://arxiv.org/abs/2401.13566v1)|[link](https://github.com/alessandraperniciano/meta-learning-strategy-fair-provider-exposure)|
|**2024-01-22 21:41:26**|**SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification**|Seungyeon Lee et.al.|[2401.12369v1](http://arxiv.org/abs/2401.12369v1)|[link](https://github.com/yeon-lab/subgroupte)|
|**2024-01-19 21:16:41**|**PressProtect: Helping Journalists Navigate Social Media in the Face of Online Harassment**|Catherine Han et.al.|[2401.11032v1](http://arxiv.org/abs/2401.11032v1)|null|
Expand Down Expand Up @@ -35,7 +36,42 @@
|**2023-12-10 18:33:45**|**No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation**|Nimesh Agrawal et.al.|[2312.10080v2](http://arxiv.org/abs/2312.10080v2)|null|
|**2023-12-07 16:17:34**|**On the Impact of Multi-dimensional Local Differential Privacy on Fairness**|Karima Makhlouf et.al.|[2312.04404v2](http://arxiv.org/abs/2312.04404v2)|[link](https://github.com/karimamakhlouf/impact_of_ldp_on_fairness)|
|**2023-12-05 08:57:32**|**Mapping the Information Journey: Unveiling the Documentation Experience of Software Developers in China**|Zhijun Gao et.al.|[2312.02586v1](http://arxiv.org/abs/2312.02586v1)|null|
|**2023-12-04 17:19:53**|**Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?**|Donya Rooein et.al.|[2312.02065v1](http://arxiv.org/abs/2312.02065v1)|null|

## Graph Neural Network

### GNN
|Publish Date|Title|Author|PDF|Code|
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-26 15:23:25**|**Macro Graph Neural Networks for Online Billion-Scale Recommender Systems**|Hao Chen et.al.|[2401.14939v1](http://arxiv.org/abs/2401.14939v1)|null|
|**2024-01-26 14:14:52**|**Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems**|Sicong Cao et.al.|[2401.14886v1](http://arxiv.org/abs/2401.14886v1)|null|
|**2024-01-26 10:14:10**|**Topology-Aware Exploration of Energy-Based Models Equilibrium: Toric QC-LDPC Codes and Hyperbolic MET QC-LDPC Codes**|Vasiliy Usatyuk et.al.|[2401.14749v1](http://arxiv.org/abs/2401.14749v1)|null|
|**2024-01-26 08:17:12**|**FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently**|Zicun Cong et.al.|[2401.14702v1](http://arxiv.org/abs/2401.14702v1)|null|
|**2024-01-26 07:36:11**|**Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting**|Jiajia Wu et.al.|[2401.14695v1](http://arxiv.org/abs/2401.14695v1)|null|
|**2024-01-26 06:13:09**|**PepGB: Facilitating peptide drug discovery via graph neural networks**|Yipin Lei et.al.|[2401.14665v1](http://arxiv.org/abs/2401.14665v1)|null|
|**2024-01-26 00:47:43**|**Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks**|Dai Shi et.al.|[2401.14580v1](http://arxiv.org/abs/2401.14580v1)|null|
|**2024-01-26 00:32:58**|**GOAt: Explaining Graph Neural Networks via Graph Output Attribution**|Shengyao Lu et.al.|[2401.14578v1](http://arxiv.org/abs/2401.14578v1)|null|
|**2024-01-25 22:49:13**|**GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control**|Songyuan Zhang et.al.|[2401.14554v1](http://arxiv.org/abs/2401.14554v1)|null|
|**2024-01-25 18:36:10**|**Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs**|Martin Hanik et.al.|[2401.14381v1](http://arxiv.org/abs/2401.14381v1)|null|
|**2024-01-25 17:39:47**|**Estimation of partially known Gaussian graphical models with score-based structural priors**|Martín Sevilla et.al.|[2401.14340v1](http://arxiv.org/abs/2401.14340v1)|[link](https://github.com/tenceto/langevin_ggm)|
|**2024-01-25 16:13:37**|**Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks**|Ramprasad Raghunath et.al.|[2401.14281v1](http://arxiv.org/abs/2401.14281v1)|[link](https://gitlab.com/ichbinram/ee_cell_free)|
|**2024-01-25 14:21:14**|**MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning**|Junwei Su et.al.|[2401.14199v1](http://arxiv.org/abs/2401.14199v1)|null|
|**2024-01-25 13:07:34**|**Alleviating Structural Distribution Shift in Graph Anomaly Detection**|Yuan Gao et.al.|[2401.14155v1](http://arxiv.org/abs/2401.14155v1)|[link](https://github.com/blacksingular/wsdm_gdn)|
|**2024-01-25 03:14:07**|**A Survey of Deep Learning and Foundation Models for Time Series Forecasting**|John A. Miller et.al.|[2401.13912v1](http://arxiv.org/abs/2401.13912v1)|null|
|**2024-01-25 00:47:44**|**Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection**|Hayoung Jo et.al.|[2401.13872v1](http://arxiv.org/abs/2401.13872v1)|null|
|**2024-01-24 18:44:14**|**Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors**|Francesco Della Santa et.al.|[2401.13652v2](http://arxiv.org/abs/2401.13652v2)|[link](https://github.com/fra0013to/nnbaseddiscdetectors)|
|**2024-01-24 03:43:45**|**Multitask Active Learning for Graph Anomaly Detection**|Wenjing Chang et.al.|[2401.13210v1](http://arxiv.org/abs/2401.13210v1)|[link](https://github.com/ahachang/mitigate)|
|**2024-01-24 03:03:17**|**Topology-aware Embedding Memory for Learning on Expanding Graphs**|Xikun Zhang et.al.|[2401.13200v1](http://arxiv.org/abs/2401.13200v1)|null|
|**2024-01-23 22:05:58**|**Persistent homology and topological statistics of hyperuniform point clouds**|Marco Salvalaglio et.al.|[2401.13123v1](http://arxiv.org/abs/2401.13123v1)|null|
|**2024-01-23 21:20:48**|**Probabilistic Demand Forecasting with Graph Neural Networks**|Nikita Kozodoi et.al.|[2401.13096v1](http://arxiv.org/abs/2401.13096v1)|null|
|**2024-01-23 17:50:58**|**Neural deformation fields for template-based reconstruction of cortical surfaces from MRI**|Fabian Bongratz et.al.|[2401.12938v1](http://arxiv.org/abs/2401.12938v1)|[link](https://github.com/ai-med/vox2cortex)|
|**2024-01-23 17:14:01**|**Truck Parking Usage Prediction with Decomposed Graph Neural Networks**|Rei Tamaru et.al.|[2401.12920v1](http://arxiv.org/abs/2401.12920v1)|null|
|**2024-01-23 15:39:18**|**Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments**|Longhao Yan et.al.|[2401.12852v1](http://arxiv.org/abs/2401.12852v1)|null|
|**2024-01-23 15:35:44**|**Overlap-aware End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization**|Prachi Singh et.al.|[2401.12850v1](http://arxiv.org/abs/2401.12850v1)|null|
|**2024-01-23 14:59:46**|**MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage**|Ying Song et.al.|[2401.12824v1](http://arxiv.org/abs/2401.12824v1)|null|
|**2024-01-23 14:06:08**|**DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing**|Li Sun et.al.|[2401.12780v1](http://arxiv.org/abs/2401.12780v1)|[link](https://github.com/RiemanGraph/)|
|**2024-01-23 09:45:49**|**PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering**|Yifang Qin et.al.|[2401.12590v1](http://arxiv.org/abs/2401.12590v1)|null|
|**2024-01-23 09:43:30**|**Interpreting Equivariant Representations**|Andreas Abildtrup Hansen et.al.|[2401.12588v1](http://arxiv.org/abs/2401.12588v1)|null|
|**2024-01-22 22:01:40**|**ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs**|Sankeerth Durvasula et.al.|[2401.12377v1](http://arxiv.org/abs/2401.12377v1)|null|

## Multi Interest Recommendation

Expand Down Expand Up @@ -72,39 +108,3 @@
|**2023-09-18 22:54:36**|**Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation**|Bo Peng et.al.|[2309.10195v2](http://arxiv.org/abs/2309.10195v2)|null|
|**2023-09-09 14:07:11**|**CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning**|Qingtian Bian et.al.|[2309.04802v3](http://arxiv.org/abs/2309.04802v3)|[link](https://github.com/dimarziobian/cpmr)|
|**2023-09-08 02:54:31**|**Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network**|Kishan R. Nagiredla et.al.|[2309.04085v1](http://arxiv.org/abs/2309.04085v1)|null|

## Graph Neural Network

### GNN
|Publish Date|Title|Author|PDF|Code|
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-25 18:36:10**|**Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs**|Martin Hanik et.al.|[2401.14381v1](http://arxiv.org/abs/2401.14381v1)|null|
|**2024-01-25 17:39:47**|**Estimation of partially known Gaussian graphical models with score-based structural priors**|Martín Sevilla et.al.|[2401.14340v1](http://arxiv.org/abs/2401.14340v1)|[link](https://github.com/tenceto/langevin_ggm)|
|**2024-01-25 16:13:37**|**Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks**|Ramprasad Raghunath et.al.|[2401.14281v1](http://arxiv.org/abs/2401.14281v1)|null|
|**2024-01-25 14:21:14**|**MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning**|Junwei Su et.al.|[2401.14199v1](http://arxiv.org/abs/2401.14199v1)|null|
|**2024-01-25 13:07:34**|**Alleviating Structural Distribution Shift in Graph Anomaly Detection**|Yuan Gao et.al.|[2401.14155v1](http://arxiv.org/abs/2401.14155v1)|[link](https://github.com/blacksingular/wsdm_gdn)|
|**2024-01-25 03:14:07**|**A Survey of Deep Learning and Foundation Models for Time Series Forecasting**|John A. Miller et.al.|[2401.13912v1](http://arxiv.org/abs/2401.13912v1)|null|
|**2024-01-25 00:47:44**|**Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection**|Hayoung Jo et.al.|[2401.13872v1](http://arxiv.org/abs/2401.13872v1)|null|
|**2024-01-24 18:44:14**|**Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors**|Francesco Della Santa et.al.|[2401.13652v2](http://arxiv.org/abs/2401.13652v2)|[link](https://github.com/fra0013to/nnbaseddiscdetectors)|
|**2024-01-24 03:43:45**|**Multitask Active Learning for Graph Anomaly Detection**|Wenjing Chang et.al.|[2401.13210v1](http://arxiv.org/abs/2401.13210v1)|[link](https://github.com/ahachang/mitigate)|
|**2024-01-24 03:03:17**|**Topology-aware Embedding Memory for Learning on Expanding Graphs**|Xikun Zhang et.al.|[2401.13200v1](http://arxiv.org/abs/2401.13200v1)|null|
|**2024-01-23 22:05:58**|**Persistent homology and topological statistics of hyperuniform point clouds**|Marco Salvalaglio et.al.|[2401.13123v1](http://arxiv.org/abs/2401.13123v1)|null|
|**2024-01-23 21:20:48**|**Probabilistic Demand Forecasting with Graph Neural Networks**|Nikita Kozodoi et.al.|[2401.13096v1](http://arxiv.org/abs/2401.13096v1)|null|
|**2024-01-23 17:50:58**|**Neural deformation fields for template-based reconstruction of cortical surfaces from MRI**|Fabian Bongratz et.al.|[2401.12938v1](http://arxiv.org/abs/2401.12938v1)|[link](https://github.com/ai-med/vox2cortex)|
|**2024-01-23 17:14:01**|**Truck Parking Usage Prediction with Decomposed Graph Neural Networks**|Rei Tamaru et.al.|[2401.12920v1](http://arxiv.org/abs/2401.12920v1)|null|
|**2024-01-23 15:39:18**|**Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments**|Longhao Yan et.al.|[2401.12852v1](http://arxiv.org/abs/2401.12852v1)|null|
|**2024-01-23 15:35:44**|**Overlap-aware End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization**|Prachi Singh et.al.|[2401.12850v1](http://arxiv.org/abs/2401.12850v1)|null|
|**2024-01-23 14:59:46**|**MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage**|Ying Song et.al.|[2401.12824v1](http://arxiv.org/abs/2401.12824v1)|null|
|**2024-01-23 14:06:08**|**DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing**|Li Sun et.al.|[2401.12780v1](http://arxiv.org/abs/2401.12780v1)|[link](https://github.com/RiemanGraph/)|
|**2024-01-23 09:45:49**|**PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering**|Yifang Qin et.al.|[2401.12590v1](http://arxiv.org/abs/2401.12590v1)|null|
|**2024-01-23 09:43:30**|**Interpreting Equivariant Representations**|Andreas Abildtrup Hansen et.al.|[2401.12588v1](http://arxiv.org/abs/2401.12588v1)|null|
|**2024-01-22 22:01:40**|**ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs**|Sankeerth Durvasula et.al.|[2401.12377v1](http://arxiv.org/abs/2401.12377v1)|null|
|**2024-01-22 21:11:22**|**VC dimension of Graph Neural Networks with Pfaffian activation functions**|Giuseppe Alessio D'Inverno et.al.|[2401.12362v1](http://arxiv.org/abs/2401.12362v1)|null|
|**2024-01-22 18:52:51**|**Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition**|Haz Sameen Shahgir et.al.|[2401.12210v1](http://arxiv.org/abs/2401.12210v1)|null|
|**2024-01-22 18:36:29**|**Learning Dynamics from Multicellular Graphs with Deep Neural Networks**|Haiqian Yang et.al.|[2401.12196v1](http://arxiv.org/abs/2401.12196v1)|null|
|**2024-01-22 14:55:01**|**Tensor-view Topological Graph Neural Network**|Tao Wen et.al.|[2401.12007v1](http://arxiv.org/abs/2401.12007v1)|[link](https://github.com/taowen0309/ttg-nn)|
|**2024-01-22 12:33:11**|**PatternPortrait: Draw Me Like One of Your Scribbles**|Sabine Wieluch et.al.|[2401.13001v1](http://arxiv.org/abs/2401.13001v1)|null|
|**2024-01-22 10:57:11**|**Learning to Approximate Adaptive Kernel Convolution on Graphs**|Jaeyoon Sim et.al.|[2401.11840v1](http://arxiv.org/abs/2401.11840v1)|null|
|**2024-01-22 09:54:49**|**Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction**|Mohammad Izadi et.al.|[2401.11798v2](http://arxiv.org/abs/2401.11798v2)|null|
|**2024-01-22 09:29:42**|**Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective**|Feiyu Yao et.al.|[2401.11783v1](http://arxiv.org/abs/2401.11783v1)|null|
|**2024-01-22 09:09:10**|**LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning**|Xunkai Li et.al.|[2401.11772v1](http://arxiv.org/abs/2401.11772v1)|[link](https://github.com/xkli-allen/lightdic)|
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