Bipartite graph ≈ Bipartite graph
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Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Open
Graph Convolutional Networks~(GCNs) are state-of-the-art graph based representation learning models by iteratively stacking multiple layers of convolution aggregation operations and non-linear activation operations. Recently, in Collaborat…
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Are Graph Augmentations Necessary? Open
Contrastive learning (CL) recently has spurred a fruitful line of research in the field of recommendation, since its ability to extract self-supervised signals from the raw data is well-aligned with recommender systems' needs for tackling …
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Improved community detection in weighted bipartite networks Open
Real-world complex networks are composed of non-random quantitative interactions. Identifying communities of nodes that tend to interact more with each other than the network as a whole is a key research focus across multiple disciplines, …
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BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction Open
Motivation A large number of resources have been devoted to exploring the associations between microRNAs (miRNAs) and diseases in the recent years. However, the experimental methods are expensive and time-consuming. Therefore, the computat…
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A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning Open
In this paper, the optimal bipartite consensus control (OBCC) problem is investigated for unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC scheme is proposed based on model-free reinforcement learning …
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Relating the Resource Theories of Entanglement and Quantum Coherence Open
Quantum coherence and quantum entanglement represent two fundamental features of nonclassical systems that can each be characterized within an operational resource theory. In this Letter, we unify the resource theories of entanglement and …
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Data for "All Topological Bands of All Non-Magnetic Stoichiometric Materials" Open
Additional material for the article "All topological bands of all nonmagnetic stoichiometric materials”, published in Science on 20 May 2022.
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K-Net: Towards Unified Image Segmentation Open
Semantic, instance, and panoptic segmentations have been addressed using different and specialized frameworks despite their underlying connections. This paper presents a unified, simple, and effective framework for these essentially simila…
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The network of plants volatile organic compounds Open
Plants emission of Volatile Organic Compounds (VOCs) is involved in a wide class of ecological functions, as VOCs play a crucial role in plants interactions with biotic and abiotic factors. Accordingly, they vary widely across species and …
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Joint Entity and Relation Extraction With Set Prediction Networks Open
The joint entity and relation extraction task aims to extract all relational triples from a sentence. In essence, the relational triples contained in a sentence are unordered. However, previous seq2seq based models require to convert the s…
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Bipartite graphs in systems biology and medicine: a survey of methods and applications Open
The latest advances in high-throughput techniques during the past decade allowed the systems biology field to expand significantly. Today, the focus of biologists has shifted from the study of individual biological components to the study …
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The Double-Stranded DNA Virosphere as a Modular Hierarchical Network of Gene Sharing Open
Virus genomes are prone to extensive gene loss, gain, and exchange and share no universal genes. Therefore, in a broad-scale study of virus evolution, gene and genome network analyses can complement traditional phylogenetics. We performed …
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Entanglement Entropy of Eigenstates of Quantum Chaotic Hamiltonians Open
In quantum statistical mechanics, it is of fundamental interest to understand how close the bipartite entanglement entropy of eigenstates of quantum chaotic Hamiltonians is to maximal. For random pure states in the Hilbert space, the avera…
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Partial time-reversal transformation and entanglement negativity in fermionic systems Open
The partial transpose of density matrices in many-body quantum systems, in which one takes the transpose only for a subsystem of the full Hilbert space, has been recognized as a useful tool to diagnose quantum entanglement. It can be used,…
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DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation Open
To provide accurate and explainable misinformation detection, it is often useful to take an auxiliary source (e.g., social context and knowledge base) into consideration. Existing methods use social contexts such as users' engagements as c…
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Operational one-to-one mapping between coherence and entanglement measures Open
We establish a general operational one-to-one mapping between coherence\nmeasures and entanglement measures: Any entanglement measure of bipartite pure\nstates is the minimum of a suitable coherence measure over product bases. Any\ncoheren…
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Polynomially Filtered Exact Diagonalization Approach to Many-Body Localization Open
Polynomially filtered exact diagonalization method (POLFED) for large sparse matrices is introduced. The algorithm finds an optimal basis of a subspace spanned by eigenvectors with eigenvalues close to a specified energy target by a spectr…
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Joint Type Inference on Entities and Relations via Graph Convolutional Networks Open
We develop a new paradigm for the task of joint entity relation extraction. It first identifies entity spans, then performs a joint inference on entity types and relation types. To tackle the joint type inference task, we propose a novel g…
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Nonlocal advantage of quantum coherence Open
A bipartite state is said to be steerable if and only if it does not have a single system description, i.e., the bipartite state cannot be explained by a local hidden state model. Several steering inequalities have been derived using diffe…
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Graph Enhanced Representation Learning for News Recommendation Open
With the explosion of online news, personalized news recommendation becomes\nincreasingly important for online news platforms to help their users find\ninteresting information. Existing news recommendation methods achieve\npersonalization …
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SpotLight Open
How do we spot interesting events from e-mail or transportation logs? How can we detect port scan or denial of service attacks from IP-IP communication data? In general, given a sequence of weighted, directed or bipartite graphs, each summ…
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Placement Delivery Array Design Through Strong Edge Coloring of Bipartite Graphs Open
The technique of coded caching proposed by Madddah-Ali and Niesen is a\npromising approach to alleviate the load of networks during busy times.\nRecently, placement delivery array (PDA) was presented to characterize both the\nplacement and…
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Graph Neural News Recommendation with Unsupervised Preference Disentanglement Open
With the explosion of news information, personalized news recommendation has become very important for users to quickly find their interested contents. Most existing methods usually learn the representations of users and news from news con…
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Constructing prediction models from expression profiles for large scale lncRNA–miRNA interaction profiling Open
Motivation The interaction of miRNA and lncRNA is known to be important for gene regulations. However, not many computational approaches have been developed to analyze known interactions and predict the unknown ones. Given that there are n…
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Chiral flat bands: Existence, engineering, and stability Open
We study flat bands in bipartite tight-binding networks with discrete\ntranslational invariance. Chiral flat bands with chiral symmetry eigenenergy E\n= 0 and host compact localized eigenstates for finite range hopping. For a\nbipartite ne…
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Efficient (α, β)-core Computation: an Index-based Approach Open
The problem of computing (α, β)-core in a bipartite graph for given α and β is a fundamental problem in bipartite graph analysis and can be used in many applications such as online group recommendation, fraudsters detection, etc. Existing …
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Solvable Sachdev-Ye-Kitaev Models in Higher Dimensions: From Diffusion to Many-Body Localization Open
Many aspects of many-body localization (MBL) transitions remain elusive so far. Here, we propose a higher-dimensional generalization of the Sachdev-Ye-Kitaev (SYK) model and show that it exhibits a MBL transition. The model on a bipartite …
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Topological quantum wires with balanced gain and loss Open
We study a one-dimensional topological superconductor, the Kitaev chain,\nunder the influence of a non-Hermitian but $\\mathcal{PT}$-symmetric potential.\nThis potential introduces gain and loss in the system in equal parts. We show\nthat …
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Comparison of Quantum Channels by Superchannels Open
We extend the definition of the conditional min-entropy from bipartite\nquantum states to bipartite quantum channels. We show that many of the\nproperties of the conditional min-entropy carry over to the extended version,\nincluding an ope…
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Learning Fair Representations for Recommendation: A Graph-based Perspective Open
As a key application of artificial intelligence, recommender systems are among the most pervasive computer aided systems to help users find potential items of interests. Recently, researchers paid considerable attention to fairness issues …