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+Papers Implemented
+==================
+
+.. include:: bibliography.rst
+
+Graph Representation Learning
+-----------------------------
+
+Graph Neural Networks
+^^^^^^^^^^^^^^^^^^^^^
+
+1. `Convolutional Networks on Graphs for Learning Molecular Fingerprints <NFP_>`_
+
+   David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, Ryan P. Adams. NIPS 2015.
+
+   :class:`NeuralFingerprintConv <torchdrug.layers.NeuralFingerprintConv>`,
+   :class:`NeuralFingerprint <torchdrug.models.NeuralFingerprint>`
+
+2. `Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering <ChebNet_>`_
+
+   Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst. NIPS 2016.
+
+   :class:`ChebyshevConv <torchdrug.layers.ChebyshevConv>`,
+   :class:`ChebyshevConvolutionalNetwork <torchdrug.models.ChebyshevConvolutionalNetwork>`
+
+3. `Semi-Supervised Classification with Graph Convolutional Networks <GCN_>`_
+
+   Thomas N. Kipf, Max Welling. ICLR 2017.
+
+   :class:`GraphConv <torchdrug.layers.GraphConv>`,
+   :class:`GraphConvolutionalNetwork <torchdrug.models.GraphConvolutionalNetwork>`
+
+4. `Neural Message Passing for Quantum Chemistry <ENN-S2S_>`_
+
+   Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl. ICML 2017.
+
+   :class:`MessagePassing <torchdrug.layers.MessagePassing>`,
+   :class:`MessagePassingNeuralNetwork <torchdrug.models.MessagePassingNeuralNetwork>`
+
+5. `SchNet: A continuous-filter convolutional neural network for modeling quantum interactions <SchNet_>`_
+
+   Kristof T. Schütt, Pieter-Jan Kindermans, Huziel E. Sauceda, Stefan Chmiela, Alexandre Tkatchenko,
+   Klaus-Robert Müller. NeurIPS 2017.
+
+   :class:`ContinuousFilterConv <torchdrug.layers.ContinuousFilterConv>`,
+   :class:`SchNet <torchdrug.models.SchNet>`
+   
+6. `Graph Attention Networks <GAT_>`_
+
+   Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio. ICLR 2018.
+
+   :class:`GraphAttentionConv <torchdrug.layers.GraphAttentionConv>`,
+   :class:`GraphAttentionNetwork <torchdrug.models.GraphAttentionNetwork>`
+
+7. `Modeling Relational Data with Graph Convolutional Networks <RGCN_>`_
+
+   Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling. ESWC 2018.
+
+   :class:`RelationalGraphConv <torchdrug.layers.RelationalGraphConv>`,
+   :class:`RelationalGraphConvolutionalNetwork <torchdrug.models.RelationalGraphConvolutionalNetwork>`
+
+8. `How Powerful Are Graph Neural Nerworks? <GIN_>`_
+
+   Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka. ICLR 2019.
+
+   :class:`GraphIsomorphismConv <torchdrug.layers.GraphIsomorphismConv>`,
+   :class:`GraphIsomorphismNetwork <torchdrug.models.GraphIsomorphismNetwork>`
+
+Differentiable Graph Pooling
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+1. `Hierarchical Graph Representation Learning with Differentiable Pooling <DiffPool_>`_
+
+   Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec. NeurIPS 2018.
+
+   :class:`DiffPool <torchdrug.layers.DiffPool>`
+
+2. `Spectral Clustering with Graph Neural Networks for Graph Pooling <MinCutPool_>`_
+
+   Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi. ICML 2020.
+
+   :class:`MinCutPool <torchdrug.layers.MinCutPool>`
+
+Readout Layers
+^^^^^^^^^^^^^^
+
+1. `Order Matters: Sequence to sequence for sets <Set2Set_>`_
+
+   Oriol Vinyals, Samy Bengio, Manjunath Kudlur
+
+   :class:`Set2Set <torchdrug.layers.Set2Set>`
+
+Normalization Layers
+^^^^^^^^^^^^^^^^^^^^
+
+1. `PairNorm: Tackling Oversmoothing in GNNs <PairNorm_>`_
+
+   Lingxiao Zhao, Leman Akoglu. ICLR 2020.
+
+   :class:`PairNorm <torchdrug.layers.PairNorm>`
+
+
+Drug Discovery
+--------------
+
+Pretrain Molecular Representations
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+1. `InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization <InfoGraph_>`_
+
+   Fan-Yun Sun, Jordan Hoffman, Vikas Verma, Jian Tang. ICLR 2020.
+
+   :class:`InfoGraph <torchdrug.models.InfoGraph>`
+
+2. `Strategies for Pre-training Graph Neural Networks <AttrMasking_>`_
+
+   Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, Jure Leskovec. ICLR 2020.
+
+   :class:`EdgePrediction <torchdrug.tasks.EdgePrediction>`,
+   :class:`AttributeMasking <torchdrug.tasks.AttributeMasking>`,
+   :class:`ContextPrediction <torchdrug.tasks.ContextPrediction>`
+
+De Novo Molecule Design
+^^^^^^^^^^^^^^^^^^^^^^^
+
+1. `Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. <GCPN_>`_
+  
+   Jiaxuan You, Bowen Liu, Rex Ying, Vijay Pande, Jure Leskovec. NeurIPS 2018.
+
+   :class:`GCPNGeneration <torchdrug.tasks.GCPNGeneration>`
+
+2. `GraphAF: A Flow-based Autoregressive Model for Molecular Graph Generation. <GraphAF_>`_
+  
+   Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang. ICLR 2020.
+
+   :class:`GraphAutoregressiveFlow <torchdrug.models.GraphAutoregressiveFlow>`,
+   :class:`AutoregressiveGeneration <torchdrug.tasks.AutoregressiveGeneration>`
+
+Retrosynthesis
+^^^^^^^^^^^^^^
+
+1. `A Graph to Graphs Framework for Retrosynthesis Prediction. <G2Gs_>`_
+ 
+   Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang. ICML 2020.
+
+   :class:`CenterIdentification <torchdrug.tasks.CenterIdentification>`,
+   :class:`SynthonCompletion <torchdrug.tasks.SynthonCompletion>`,
+   :class:`Retrosynthesis <torchdrug.tasks.Retrosynthesis>`
+
+Protein Representation Learning
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+1. `Evaluating Protein Transfer Learning with TAPE <TAPE_>`_
+
+   Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John Canny, Pieter Abbeel, Yun S Song. NeurIPS 2019.
+
+   :class:`SinusoidalPositionEmbedding <torchdrug.layers.SinusoidalPositionEmbedding>`
+   :class:`SelfAttentionBlock <torchdrug.layers.SelfAttentionBlock>`
+   :class:`ProteinResNetBlock <torchdrug.layers.ProteinResNetBlock>`
+   :class:`ProteinBERTBlock <torchdrug.layers.ProteinBERTBlock>`
+   :class:`ProteinResNet <torchdrug.models.ProteinResNet>`
+   :class:`ProteinLSTM <torchdrug.models.ProteinLSTM>`
+   :class:`ProteinBERT <torchdrug.models.ProteinBERT>`
+
+2. `Is Transfer Learning Necessary for Protein Landscape Prediction? <ProteinCNN_>`_
+
+   Amir Shanehsazzadeh, David Belanger, David Dohan. arXiv 2020.
+
+   :class:`ProteinCNN <torchdrug.models.ProteinCNN>`
+
+3. `Biological Structure and Function Emerge from Scaling Unsupervised Learning to 250 Million Protein Sequences <ESM_>`_
+
+   Alexander Rives,  Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus. PNAS 2021.
+
+   :class:`EvolutionaryScaleModeling <torchdrug.models.EvolutionaryScaleModeling>`
+
+4. `Protein Representation Learning by Geometric Structure Pretraining <GearNet_>`_
+
+   Zuobai Zhang, Minghao Xu, Arian Jamasb, Vijil Chenthamarakshan, Aurélie Lozano, Payel Das, Jian Tang. arXiv 2022.
+
+   :class:`GeometricRelationalGraphConv <torchdrug.layers.GeometricRelationalGraphConv>`
+   :class:`GeometryAwareRelationalGraphNeuralNetwork <torchdrug.models.GeometryAwareRelationalGraphNeuralNetwork>`
+   :mod:`torchdrug.layers.geometry`
+
+Knowledge Graph Reasoning
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+1. `Translating Embeddings for Modeling Multi-relational Data <TransE_>`_
+
+   Antoine Bordes, Nicolas Usunier, Alberto García-Durán. NIPS 2013.
+
+   :func:`transe_score <torchdrug.layers.functional.transe_score>`,
+   :class:`TransE <torchdrug.models.DistMult>`
+
+2. `Embedding Entities and Relations for Learning and Inference in Knowledge Bases <DistMult_>`_
+
+   Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng. ICLR 2015.
+
+   :func:`distmult_score <torchdrug.layers.functional.distmult_score>`,
+   :class:`DistMult <torchdrug.models.DistMult>`
+
+3. `Complex Embeddings for Simple Link Prediction <ComplEx_>`_
+
+   Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard. ICML 2016.
+
+   :func:`complex_score <torchdrug.layers.functional.complex_score>`,
+   :class:`ComplEx <torchdrug.models.DistMult>`
+
+4. `Differentiable Learning of Logical Rules for Knowledge Base Reasoning <NeuralLP_>`_
+
+   Fan Yang, Zhilin Yang, William W. Cohen. NIPS 2017.
+
+   :class:`NeuralLogicProgramming <torchdrug.models.NeuralLogicProgramming>`
+   
+5. `SimplE Embedding for Link Prediction in Knowledge Graphs <SimplE_>`_
+
+   Seyed Mehran Kazemi, David Poole. NeurIPS 2018.
+
+   :func:`simple_score <torchdrug.layers.functional.simple_score>`,
+   :class:`SimplE <torchdrug.models.SimplE>`
+
+6. `RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space <RotatE_>`_
+
+   Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. ICLR 2019.
+
+   :func:`rotate_score <torchdrug.layers.functional.rotate_score>`,
+   :class:`RotatE <torchdrug.models.RotatE>`
+
+7. `Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs <KBGAT_>`_
+
+   Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul. ACL 2019.
+
+   :class:`KnowledgeBaseGraphAttentionNetwork <torchdrug.models.KnowledgeBaseGraphAttentionNetwork>`
\ No newline at end of file