{"list":"other","total":77,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"1607.06450","title":"Layer Normalization","created":"2016-07-21","cited_by_count":5669},{"id":"1704.01212","title":"Neural Message Passing for Quantum Chemistry","created":"2017-04-04","cited_by_count":3487},{"id":"1607.00653","title":"node2vec: Scalable Feature Learning for Networks","created":"2016-07-03","cited_by_count":1918},{"id":"1902.07153","title":"Simplifying Graph Convolutional Networks","created":"2019-02-19","cited_by_count":1477},{"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":"1810.05997","title":"Predict then Propagate: Graph Neural Networks meet Personalized PageRank","created":"2018-10-14","cited_by_count":993},{"id":"1603.08861","title":"Revisiting Semi-Supervised Learning with Graph Embeddings","created":"2016-03-29","cited_by_count":976},{"id":"1802.09691","title":"Link Prediction Based on Graph Neural Networks","created":"2018-02-27","cited_by_count":832},{"id":"2011.00362","title":"A Survey on Contrastive Self-supervised Learning","created":"2020-10-31","cited_by_count":554},{"id":"1809.09401","title":"Hypergraph Neural Networks","created":"2018-09-25","cited_by_count":488},{"id":"2006.09963","title":"GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training","created":"2020-06-17","cited_by_count":463},{"id":"2110.07875","title":"Graph Neural Networks with Learnable Structural and Positional Representations","created":"2021-10-15","cited_by_count":333},{"id":"2103.00111","title":"Graph Self-Supervised Learning: A Survey","created":"2021-02-27","cited_by_count":289},{"id":"2106.06935","title":"Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction","created":"2021-06-13","cited_by_count":275},{"id":"1901.08150","title":"Hypergraph Convolution and Hypergraph Attention","created":"2019-01-23","cited_by_count":228},{"id":"2101.10320","title":"Identity-aware Graph Neural Networks","created":"2021-01-25","cited_by_count":198},{"id":"1905.04943","title":"Universal Invariant and Equivariant Graph Neural Networks","created":"2019-05-13","cited_by_count":183},{"id":"1901.09342","title":"On the Universality of Invariant Networks","created":"2019-01-27","cited_by_count":152},{"id":"2006.01764","title":"Networks beyond pairwise interactions: structure and dynamics","created":"2020-06-02","cited_by_count":130},{"id":"2105.00956","title":"UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks","created":"2021-05-03","cited_by_count":130},{"id":"2106.13264","title":"You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks","created":"2021-06-24","cited_by_count":127},{"id":"2102.05034","title":"SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks","created":"2021-02-09","cited_by_count":110},{"id":"2006.12278","title":"HNHN: Hypergraph Networks with Hyperedge Neurons","created":"2020-06-22","cited_by_count":109},{"id":"2006.15107","title":"Building powerful and equivariant graph neural networks with structural message-passing","created":"2020-06-26","cited_by_count":97},{"id":"2012.06852","title":"Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation","created":"2020-12-12","cited_by_count":75},{"id":"1911.02613","title":"Hyper-SAGNN: a self-attention based graph neural network for hypergraphs","created":"2019-11-06","cited_by_count":69},{"id":"2104.11329","title":"What are higher-order networks?","created":"2021-04-20","cited_by_count":66},{"id":"2402.08871","title":"Position: Topological Deep Learning is the New Frontier for Relational Learning","created":"2024-02-14","cited_by_count":66},{"id":"2104.14913","title":"Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification","created":"2021-04-30","cited_by_count":63},{"id":"2110.06023","title":"The physics of higher-order interactions in complex systems","created":"2021-10-12","cited_by_count":63},{"id":"1905.08287","title":"Random Walks on Hypergraphs with Edge-Dependent Vertex Weights","created":"2019-05-20","cited_by_count":45},{"id":"2304.10031","title":"Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks","created":"2023-04-20","cited_by_count":43},{"id":"2204.08587","title":"Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction","created":"2022-04-18","cited_by_count":39},{"id":"2110.14416","title":"Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs","created":"2021-10-27","cited_by_count":35},{"id":"2109.04200","title":"Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation","created":"2021-09-09","cited_by_count":32},{"id":"2001.11181","title":"How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction","created":"2020-01-30","cited_by_count":31},{"id":"2006.07060","title":"Structural Patterns and Generative Models of Real-world Hypergraphs","created":"2020-06-12","cited_by_count":29},{"id":"2306.02376","title":"Towards Deep Attention in Graph Neural Networks: Problems and Remedies","created":"2023-06-04","cited_by_count":24},{"id":"2005.04843","title":"Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion","created":"2020-05-11","cited_by_count":22},{"id":"2101.07480","title":"How Do Hyperedges Overlap in Real-World Hypergraphs? -- Patterns, Measures, and Generators","created":"2021-01-19","cited_by_count":22},{"id":"2108.08134","title":"Hyperbolic Hypergraphs for Sequential Recommendation","created":"2021-08-18","cited_by_count":21},{"id":"2206.04739","title":"I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs","created":"2022-06-09","cited_by_count":21},{"id":"2112.14266","title":"Session-based Recommendation with Hypergraph Attention Networks","created":"2021-12-28","cited_by_count":19},{"id":"2306.09623","title":"From Hypergraph Energy Functions to Hypergraph Neural Networks","created":"2023-06-16","cited_by_count":18},{"id":"2308.15844","title":"Reconstructing Groups of People with Hypergraph Relational Reasoning","created":"2023-08-30","cited_by_count":18},{"id":"2106.05701","title":"Learnable Hypergraph Laplacian for Hypergraph Learning","created":"2021-06-10","cited_by_count":16},{"id":"2203.16939","title":"Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs","created":"2022-03-31","cited_by_count":16},{"id":"2206.12747","title":"HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network","created":"2022-06-25","cited_by_count":16},{"id":"2310.07684","title":"Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design","created":"2023-10-11","cited_by_count":15},{"id":"2003.01853","title":"Hypergraph Motifs: Concepts, Algorithms, and Discoveries","created":"2020-03-04","cited_by_count":14},{"id":"2306.03032","title":"Classification of Edge-dependent Labels of Nodes in Hypergraphs","created":"2023-06-05","cited_by_count":14},{"id":"2204.06353","title":"AHP: Learning to Negative Sample for Hyperedge Prediction","created":"2022-04-13","cited_by_count":12},{"id":"2206.04516","title":"Accurate Node Feature Estimation with Structured Variational Graph Autoencoder","created":"2022-06-09","cited_by_count":12},{"id":"2403.08818","title":"Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM","created":"2024-02-19","cited_by_count":10},{"id":"2402.04062","title":"Link Prediction with Relational Hypergraphs","created":"2024-02-06","cited_by_count":9},{"id":"2402.04621","title":"Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective","created":"2024-02-07","cited_by_count":9},{"id":"2106.04292","title":"Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks","created":"2021-06-08","cited_by_count":7},{"id":"2402.19414","title":"Higher-Order Networks Representation and Learning: A Survey","created":"2024-02-29","cited_by_count":7},{"id":"2008.03626","title":"Directed hypergraph neural network","created":"2020-08-09","cited_by_count":6},{"id":"2011.02904","title":"Hyperrealistic Image Inpainting with Hypergraphs","created":"2020-11-05","cited_by_count":6},{"id":"2103.10411","title":"Group interactions modulate critical mass dynamics in social convention","created":"2021-03-18","cited_by_count":6},{"id":"2303.05490","title":"On the Expressiveness and Generalization of Hypergraph Neural Networks","created":"2023-03-09","cited_by_count":5},{"id":"2306.02358","title":"How Transitive Are Real-World Group Interactions? -- Measurement and Reproduction","created":"2023-06-04","cited_by_count":4},{"id":"2308.01650","title":"UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification","created":"2023-08-03","cited_by_count":4},{"id":"2307.14024","title":"Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation","created":"2023-07-26","cited_by_count":3},{"id":"2402.09676","title":"HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network","created":"2024-02-15","cited_by_count":3},{"id":"2210.05328","title":"Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators","created":"2022-10-11","cited_by_count":2},{"id":"2310.09657","title":"Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation","created":"2023-10-14","cited_by_count":2},{"id":"2312.00336","title":"Hypergraph Node Representation Learning with One-Stage Message Passing","created":"2023-12-01","cited_by_count":2},{"id":"2311.14289","title":"Four-set Hypergraphlets for Characterization of Directed Hypergraphs","created":"2023-11-24","cited_by_count":1}],"next_cursor":null}