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# arxiv-daily
自动更新 @ 2024-01-20 16:07:44 Asia/Shanghai
自动更新 @ 2024-01-21 16:07:56 Asia/Shanghai

## Graph Neural Network

### GNN
|Publish Date|Title|Author|PDF|Code|
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-18 12:58:53**|**Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification**|Yutong Xia et.al.|[2401.09953v1](http://arxiv.org/abs/2401.09953v1)|null|
|**2024-01-18 12:47:13**|**HGAttack: Transferable Heterogeneous Graph Adversarial Attack**|He Zhao et.al.|[2401.09945v1](http://arxiv.org/abs/2401.09945v1)|null|
|**2024-01-18 12:45:46**|**Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation**|Ruizhe Zhang et.al.|[2401.09943v1](http://arxiv.org/abs/2401.09943v1)|null|
|**2024-01-18 08:10:34**|**Adaptive Self-training Framework for Fine-grained Scene Graph Generation**|Kibum Kim et.al.|[2401.09786v1](http://arxiv.org/abs/2401.09786v1)|[link](https://github.com/rlqja1107/torch-st-sgg)|
|**2024-01-18 06:57:29**|**Universally Robust Graph Neural Networks by Preserving Neighbor Similarity**|Yulin Zhu et.al.|[2401.09754v1](http://arxiv.org/abs/2401.09754v1)|null|
|**2024-01-18 06:57:29**|**Crystal Transformer Based Universal Atomic Embedding for Accurate and Transferable Prediction of Materials Properties**|Luozhijie Jin et.al.|[2401.09755v1](http://arxiv.org/abs/2401.09755v1)|null|
|**2024-01-18 04:57:12**|**Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance**|Xuan Zhang et.al.|[2401.09724v1](http://arxiv.org/abs/2401.09724v1)|[link](https://github.com/jadecurl/predicting-viral-rumors-and-vulnerable-users)|
|**2024-01-18 02:48:06**|**EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile**|Vu Hong Quan et.al.|[2401.09693v1](http://arxiv.org/abs/2401.09693v1)|[link](https://github.com/quanvu0996/efficientrec)|
|**2024-01-17 17:55:06**|**Diverse Part Synthesis for 3D Shape Creation**|Yanran Guan et.al.|[2401.09384v1](http://arxiv.org/abs/2401.09384v1)|null|
|**2024-01-17 16:47:39**|**BENO: Boundary-embedded Neural Operators for Elliptic PDEs**|Haixin Wang et.al.|[2401.09323v1](http://arxiv.org/abs/2401.09323v1)|[link](https://github.com/ai4science-westlakeu/beno)|
|**2024-01-17 14:30:46**|**A Characterization Theorem for Equivariant Networks with Point-wise Activations**|Marco Pacini et.al.|[2401.09235v1](http://arxiv.org/abs/2401.09235v1)|null|
|**2024-01-17 13:04:23**|**GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection**|Alessandro Bicciato et.al.|[2401.09193v1](http://arxiv.org/abs/2401.09193v1)|[link](https://github.com/gdl-unive/histogram-intersection-kernel)|
|**2024-01-17 11:01:28**|**Understanding Heterophily for Graph Neural Networks**|Junfu Wang et.al.|[2401.09125v1](http://arxiv.org/abs/2401.09125v1)|null|
|**2024-01-17 09:12:31**|**Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering**|Jingwei Guo et.al.|[2401.09071v1](http://arxiv.org/abs/2401.09071v1)|null|
|**2024-01-17 07:21:36**|**A novel hybrid time-varying graph neural network for traffic flow forecasting**|Ben Ao Dai et.al.|[2401.10155v1](http://arxiv.org/abs/2401.10155v1)|[link](https://github.com/DaibenaoZSTU/HTVGNN)|
|**2024-01-16 17:23:23**|**Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness**|Bohang Zhang et.al.|[2401.08514v1](http://arxiv.org/abs/2401.08514v1)|[link](https://github.com/subgraph23/homomorphism-expressivity)|
|**2024-01-16 09:14:52**|**Spoofing Detection in the Physical Layer with Graph Neural Networks**|Tien Ngoc Ha et.al.|[2401.08220v1](http://arxiv.org/abs/2401.08220v1)|null|
|**2024-01-16 01:03:39**|**Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study**|Sadman Sadeed Omee et.al.|[2401.08032v1](http://arxiv.org/abs/2401.08032v1)|null|
|**2024-01-15 19:57:07**|**Integrate Any Omics: Towards genome-wide data integration for patient stratification**|Shihao Ma et.al.|[2401.07937v1](http://arxiv.org/abs/2401.07937v1)|[link](https://github.com/bowang-lab/integrao)|
|**2024-01-15 01:11:46**|**Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis**|Janghoon Ock et.al.|[2401.07408v1](http://arxiv.org/abs/2401.07408v1)|null|
|**2024-01-14 01:38:27**|**Scaling Advantage in Approximate Optimization with Quantum Annealing**|Humberto Munoz Bauza et.al.|[2401.07184v1](http://arxiv.org/abs/2401.07184v1)|null|
|**2024-01-13 16:09:49**|**Graph Language Models**|Moritz Plenz et.al.|[2401.07105v1](http://arxiv.org/abs/2401.07105v1)|[link](https://github.com/heidelberg-nlp/graphlanguagemodels)|
|**2024-01-13 12:49:56**|**Tensor Graph Convolutional Network for Dynamic Graph Representation Learning**|Ling Wang et.al.|[2401.07065v1](http://arxiv.org/abs/2401.07065v1)|null|
|**2024-01-13 02:14:35**|**Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation**|Peng Yue et.al.|[2401.06952v1](http://arxiv.org/abs/2401.06952v1)|null|
|**2024-01-12 20:32:38**|**Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics**|Salma Afifi et.al.|[2401.06885v1](http://arxiv.org/abs/2401.06885v1)|null|
|**2024-01-12 19:35:54**|**Deep Learning With DAGs**|Sourabh Balgi et.al.|[2401.06864v1](http://arxiv.org/abs/2401.06864v1)|null|
|**2024-01-12 17:57:07**|**Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding**|Bozhen Hu et.al.|[2401.06727v1](http://arxiv.org/abs/2401.06727v1)|null|
|**2024-01-12 13:12:07**|**A General Benchmark Framework is Dynamic Graph Neural Network Need**|Yusen Zhang et.al.|[2401.06559v1](http://arxiv.org/abs/2401.06559v1)|null|
|**2024-01-12 13:02:39**|**Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks**|Ziqiang Cui et.al.|[2401.06557v1](http://arxiv.org/abs/2401.06557v1)|null|
|**2024-01-12 04:41:23**|**Graph Relation Distillation for Efficient Biomedical Instance Segmentation**|Xiaoyu Liu et.al.|[2401.06370v1](http://arxiv.org/abs/2401.06370v1)|[link](https://github.com/liuxy1103/grdbis)|

## Multi Interest Recommendation

Expand Down Expand Up @@ -72,39 +108,3 @@
|**2023-11-20 19:50:44**|**Early Requirements Traceability with Domain-Specific Taxonomies -- A Pilot Experiment**|Michael Unterkalmsteiner et.al.|[2311.12146v1](http://arxiv.org/abs/2311.12146v1)|null|
|**2023-11-20 19:37:57**|**Multi-view Graph Convolution for Participant Recommendation**|Xiaolong Liu et.al.|[2311.12136v1](http://arxiv.org/abs/2311.12136v1)|null|
|**2023-11-19 05:59:19**|**Dependency Relationships-Enhanced Attentive Group Recommendation in HINs**|Juntao Zhang et.al.|[2311.11239v1](http://arxiv.org/abs/2311.11239v1)|null|

## Graph Neural Network

### GNN
|Publish Date|Title|Author|PDF|Code|
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-18 12:58:53**|**Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification**|Yutong Xia et.al.|[2401.09953v1](http://arxiv.org/abs/2401.09953v1)|null|
|**2024-01-18 12:47:13**|**HGAttack: Transferable Heterogeneous Graph Adversarial Attack**|He Zhao et.al.|[2401.09945v1](http://arxiv.org/abs/2401.09945v1)|null|
|**2024-01-18 12:45:46**|**Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation**|Ruizhe Zhang et.al.|[2401.09943v1](http://arxiv.org/abs/2401.09943v1)|[link](https://github.com/GPFN-Anonymous/GPFN)|
|**2024-01-18 08:10:34**|**Adaptive Self-training Framework for Fine-grained Scene Graph Generation**|Kibum Kim et.al.|[2401.09786v1](http://arxiv.org/abs/2401.09786v1)|[link](https://github.com/rlqja1107/torch-st-sgg)|
|**2024-01-18 06:57:29**|**Universally Robust Graph Neural Networks by Preserving Neighbor Similarity**|Yulin Zhu et.al.|[2401.09754v1](http://arxiv.org/abs/2401.09754v1)|null|
|**2024-01-18 06:57:29**|**Crystal Transformer Based Universal Atomic Embedding for Accurate and Transferable Prediction of Materials Properties**|Luozhijie Jin et.al.|[2401.09755v1](http://arxiv.org/abs/2401.09755v1)|null|
|**2024-01-18 04:57:12**|**Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance**|Xuan Zhang et.al.|[2401.09724v1](http://arxiv.org/abs/2401.09724v1)|[link](https://github.com/jadecurl/predicting-viral-rumors-and-vulnerable-users)|
|**2024-01-18 02:48:06**|**EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile**|Vu Hong Quan et.al.|[2401.09693v1](http://arxiv.org/abs/2401.09693v1)|[link](https://github.com/quanvu0996/efficientrec)|
|**2024-01-17 17:55:06**|**Diverse Part Synthesis for 3D Shape Creation**|Yanran Guan et.al.|[2401.09384v1](http://arxiv.org/abs/2401.09384v1)|null|
|**2024-01-17 16:47:39**|**BENO: Boundary-embedded Neural Operators for Elliptic PDEs**|Haixin Wang et.al.|[2401.09323v1](http://arxiv.org/abs/2401.09323v1)|[link](https://github.com/ai4science-westlakeu/beno)|
|**2024-01-17 14:30:46**|**A Characterization Theorem for Equivariant Networks with Point-wise Activations**|Marco Pacini et.al.|[2401.09235v1](http://arxiv.org/abs/2401.09235v1)|null|
|**2024-01-17 13:04:23**|**GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection**|Alessandro Bicciato et.al.|[2401.09193v1](http://arxiv.org/abs/2401.09193v1)|[link](https://github.com/gdl-unive/histogram-intersection-kernel)|
|**2024-01-17 11:01:28**|**Understanding Heterophily for Graph Neural Networks**|Junfu Wang et.al.|[2401.09125v1](http://arxiv.org/abs/2401.09125v1)|null|
|**2024-01-17 09:12:31**|**Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering**|Jingwei Guo et.al.|[2401.09071v1](http://arxiv.org/abs/2401.09071v1)|null|
|**2024-01-17 07:21:36**|**A novel hybrid time-varying graph neural network for traffic flow forecasting**|Ben Ao Dai et.al.|[2401.10155v1](http://arxiv.org/abs/2401.10155v1)|[link](https://github.com/DaibenaoZSTU/HTVGNN)|
|**2024-01-16 17:23:23**|**Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness**|Bohang Zhang et.al.|[2401.08514v1](http://arxiv.org/abs/2401.08514v1)|[link](https://github.com/subgraph23/homomorphism-expressivity)|
|**2024-01-16 09:14:52**|**Spoofing Detection in the Physical Layer with Graph Neural Networks**|Tien Ngoc Ha et.al.|[2401.08220v1](http://arxiv.org/abs/2401.08220v1)|null|
|**2024-01-16 01:03:39**|**Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study**|Sadman Sadeed Omee et.al.|[2401.08032v1](http://arxiv.org/abs/2401.08032v1)|null|
|**2024-01-15 19:57:07**|**Integrate Any Omics: Towards genome-wide data integration for patient stratification**|Shihao Ma et.al.|[2401.07937v1](http://arxiv.org/abs/2401.07937v1)|[link](https://github.com/bowang-lab/integrao)|
|**2024-01-15 01:11:46**|**Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis**|Janghoon Ock et.al.|[2401.07408v1](http://arxiv.org/abs/2401.07408v1)|null|
|**2024-01-14 01:38:27**|**Scaling Advantage in Approximate Optimization with Quantum Annealing**|Humberto Munoz Bauza et.al.|[2401.07184v1](http://arxiv.org/abs/2401.07184v1)|null|
|**2024-01-13 16:09:49**|**Graph Language Models**|Moritz Plenz et.al.|[2401.07105v1](http://arxiv.org/abs/2401.07105v1)|[link](https://github.com/heidelberg-nlp/graphlanguagemodels)|
|**2024-01-13 12:49:56**|**Tensor Graph Convolutional Network for Dynamic Graph Representation Learning**|Ling Wang et.al.|[2401.07065v1](http://arxiv.org/abs/2401.07065v1)|null|
|**2024-01-13 02:14:35**|**Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation**|Peng Yue et.al.|[2401.06952v1](http://arxiv.org/abs/2401.06952v1)|null|
|**2024-01-12 20:32:38**|**Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics**|Salma Afifi et.al.|[2401.06885v1](http://arxiv.org/abs/2401.06885v1)|null|
|**2024-01-12 19:35:54**|**Deep Learning With DAGs**|Sourabh Balgi et.al.|[2401.06864v1](http://arxiv.org/abs/2401.06864v1)|null|
|**2024-01-12 17:57:07**|**Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding**|Bozhen Hu et.al.|[2401.06727v1](http://arxiv.org/abs/2401.06727v1)|null|
|**2024-01-12 13:12:07**|**A General Benchmark Framework is Dynamic Graph Neural Network Need**|Yusen Zhang et.al.|[2401.06559v1](http://arxiv.org/abs/2401.06559v1)|null|
|**2024-01-12 13:02:39**|**Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks**|Ziqiang Cui et.al.|[2401.06557v1](http://arxiv.org/abs/2401.06557v1)|null|
|**2024-01-12 04:41:23**|**Graph Relation Distillation for Efficient Biomedical Instance Segmentation**|Xiaoyu Liu et.al.|[2401.06370v1](http://arxiv.org/abs/2401.06370v1)|[link](https://github.com/liuxy1103/grdbis)|
2 changes: 1 addition & 1 deletion docs/Graph Neural Network/GNN.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
| :---: | :---: | :---: | :---: | :---: |
|**2024-01-18 12:58:53**|**Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification**|Yutong Xia et.al.|[2401.09953v1](http://arxiv.org/abs/2401.09953v1)|null|
|**2024-01-18 12:47:13**|**HGAttack: Transferable Heterogeneous Graph Adversarial Attack**|He Zhao et.al.|[2401.09945v1](http://arxiv.org/abs/2401.09945v1)|null|
|**2024-01-18 12:45:46**|**Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation**|Ruizhe Zhang et.al.|[2401.09943v1](http://arxiv.org/abs/2401.09943v1)|[link](https://github.com/GPFN-Anonymous/GPFN)|
|**2024-01-18 12:45:46**|**Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation**|Ruizhe Zhang et.al.|[2401.09943v1](http://arxiv.org/abs/2401.09943v1)|null|
|**2024-01-18 08:10:34**|**Adaptive Self-training Framework for Fine-grained Scene Graph Generation**|Kibum Kim et.al.|[2401.09786v1](http://arxiv.org/abs/2401.09786v1)|[link](https://github.com/rlqja1107/torch-st-sgg)|
|**2024-01-18 06:57:29**|**Universally Robust Graph Neural Networks by Preserving Neighbor Similarity**|Yulin Zhu et.al.|[2401.09754v1](http://arxiv.org/abs/2401.09754v1)|null|
|**2024-01-18 06:57:29**|**Crystal Transformer Based Universal Atomic Embedding for Accurate and Transferable Prediction of Materials Properties**|Luozhijie Jin et.al.|[2401.09755v1](http://arxiv.org/abs/2401.09755v1)|null|
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