{"list":"other","total":62,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1706.02216","title":"Inductive Representation Learning on Large Graphs","created":"2017-06-07","cited_by_count":6320},{"id":"1608.03983","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","created":"2016-08-13","cited_by_count":5045},{"id":"1703.03400","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","created":"2017-03-09","cited_by_count":4897},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1810.00826","title":"How Powerful are Graph Neural Networks?","created":"2018-10-01","cited_by_count":4393},{"id":"2201.12086","title":"BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation","created":"2022-01-28","cited_by_count":4322},{"id":"2005.00687","title":"Open Graph Benchmark: Datasets for Machine Learning on Graphs","created":"2020-05-02","cited_by_count":2163},{"id":"1607.00653","title":"node2vec: Scalable Feature Learning for Networks","created":"2016-07-03","cited_by_count":1918},{"id":"2103.03230","title":"Barlow Twins: Self-Supervised Learning via Redundancy Reduction","created":"2021-03-04","cited_by_count":1838},{"id":"1703.06103","title":"Modeling Relational Data with Graph Convolutional Networks","created":"2017-03-17","cited_by_count":1694},{"id":"1403.6652","title":"DeepWalk: Online Learning of Social Representations","created":"2014-03-26","cited_by_count":1547},{"id":"1611.07308","title":"Variational Graph Auto-Encoders","created":"2016-11-21","cited_by_count":1382},{"id":"1808.06670","title":"Learning deep representations by mutual information estimation and maximization","created":"2018-08-20","cited_by_count":1273},{"id":"2010.13902","title":"Graph Contrastive Learning with Augmentations","created":"2020-10-22","cited_by_count":1208},{"id":"1809.10341","title":"Deep Graph Infomax","created":"2018-09-27","cited_by_count":1106},{"id":"1905.12265","title":"Strategies for Pre-training Graph Neural Networks","created":"2019-05-29","cited_by_count":971},{"id":"1806.08804","title":"Hierarchical Graph Representation Learning with Differentiable Pooling","created":"2018-06-22","cited_by_count":787},{"id":"1903.03894","title":"GNNExplainer: Generating Explanations for Graph Neural Networks","created":"2019-03-10","cited_by_count":737},{"id":"2111.07783","title":"FILIP: Fine-grained Interactive Language-Image Pre-Training","created":"2021-11-09","cited_by_count":627},{"id":"2010.14945","title":"Graph Contrastive Learning with Adaptive Augmentation","created":"2020-10-27","cited_by_count":519},{"id":"2006.09963","title":"GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training","created":"2020-06-17","cited_by_count":463},{"id":"1908.01000","title":"InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization","created":"2019-07-31","cited_by_count":441},{"id":"2011.04573","title":"Parameterized Explainer for Graph Neural Network","created":"2020-11-09","cited_by_count":426},{"id":"1911.03082","title":"Composition-based Multi-Relational Graph Convolutional Networks","created":"2019-11-08","cited_by_count":396},{"id":"1909.09157","title":"Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML","created":"2019-09-19","cited_by_count":359},{"id":"2006.15437","title":"GPT-GNN: Generative Pre-Training of Graph Neural Networks","created":"2020-06-27","cited_by_count":303},{"id":"2110.07728","title":"Pre-training Molecular Graph Representation with 3D Geometry","created":"2021-10-07","cited_by_count":248},{"id":"1912.09893","title":"A Fair Comparison of Graph Neural Networks for Graph Classification","created":"2019-12-20","cited_by_count":244},{"id":"2010.05788","title":"PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks","created":"2020-10-12","cited_by_count":211},{"id":"2006.06830","title":"Data Augmentation for Graph Neural Networks","created":"2020-06-11","cited_by_count":203},{"id":"1610.06258","title":"Using Fast Weights to Attend to the Recent Past","created":"2016-10-20","cited_by_count":170},{"id":"1912.09637","title":"Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model","created":"2019-12-20","cited_by_count":102},{"id":"2210.06681","title":"Brain Network Transformer","created":"2022-10-13","cited_by_count":94},{"id":"2009.05204","title":"Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization","created":"2020-09-11","cited_by_count":93},{"id":"2006.15509","title":"BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision","created":"2020-06-28","cited_by_count":91},{"id":"2106.02466","title":"Graph Barlow Twins: A self-supervised representation learning framework for graphs","created":"2021-06-04","cited_by_count":85},{"id":"2010.07835","title":"Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach","created":"2020-10-15","cited_by_count":83},{"id":"2204.07054","title":"BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks","created":"2022-03-17","cited_by_count":75},{"id":"2110.02027","title":"ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning","created":"2021-10-05","cited_by_count":72},{"id":"2205.12465","title":"FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation","created":"2022-05-25","cited_by_count":67},{"id":"2207.00813","title":"Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis","created":"2022-06-30","cited_by_count":59},{"id":"2005.10150","title":"GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection","created":"2020-05-20","cited_by_count":54},{"id":"2107.01495","title":"On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs","created":"2021-07-03","cited_by_count":49},{"id":"2006.14618","title":"Parametric Instance Classification for Unsupervised Visual Feature Learning","created":"2020-06-25","cited_by_count":41},{"id":"2202.00961","title":"Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction","created":"2022-02-02","cited_by_count":22},{"id":"2107.03220","title":"Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis","created":"2021-07-07","cited_by_count":20},{"id":"2010.07143","title":"A Graph Neural Network Framework for Causal Inference in Brain Networks","created":"2020-10-14","cited_by_count":16},{"id":"2206.04486","title":"Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning","created":"2022-06-09","cited_by_count":15},{"id":"2301.03726","title":"Neighborhood-Regularized Self-Training for Learning with Few Labels","created":"2023-01-10","cited_by_count":14},{"id":"2211.00261","title":"Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks","created":"2022-11-01","cited_by_count":13},{"id":"1709.03659","title":"Multi-view Graph Embedding with Hub Detection for Brain Network Analysis","created":"2017-09-12","cited_by_count":8},{"id":"1906.09908","title":"Brain Network Construction and Classification Toolbox (BrainNetClass)","created":"2019-06-17","cited_by_count":8},{"id":"2305.04142","title":"Transformer-Based Hierarchical Clustering for Brain Network Analysis","created":"2023-05-06","cited_by_count":8},{"id":"2201.04672","title":"How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation","created":"2022-01-12","cited_by_count":7},{"id":"1707.06962","title":"Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis","created":"2017-07-21","cited_by_count":1}],"next_cursor":null}