iclr2021_graph_after_rebuttal

	A	B	C	D	E	F
1	title_after	url	ratings_before	avg_rating_before	ratings_after	avg_rating_after
2	How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks	https://openreview.net/forum?id=UH-cmocLJC	[8, 9, 9, 7]	8.25	[8, 9, 9, 9]	8.75
3	Complex Query Answering with Neural Link Predictors	https://openreview.net/forum?id=Mos9F9kDwkz	[6,8,9,9]	8	[6,8,9,9]	8
4	Expressive Power of Invariant and Equivariant Graph Neural Networks	https://openreview.net/forum?id=lxHgXYN4bwl	[9, 7, 5, 8]	7.25	[6, 8, 8, 9]	7.75
5	Learning Mesh-Based Simulation with Graph Networks	https://openreview.net/forum?id=roNqYL0_XP	[10, 6, 6, 9]	7.75	[6, 6, 9, 10]	7.75
6	Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs	https://openreview.net/forum?id=Jnspzp-oIZE	[7, 5, 6, 9]	6.75	[7, 7, 7, 9]	7.5
7	Graph Convolution with Low-rank Learnable Local Filters	https://openreview.net/forum?id=9OHFhefeB86	[7, 7, 6, 8]	7	[7, 7, 7, 8]	7.25
8	Learning from Protein Structure with Geometric Vector Perceptrons	https://openreview.net/forum?id=1YLJDvSx6J4	[7, 10, 6, 6]	7.25	[6, 6, 7, 10]	7.25
9	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control	https://openreview.net/forum?id=N3zUDGN5lO	[6, 6, 7, 7]	6.5	[7, 7, 7, 7]	7
10	Retrieval-Augmented Generation for Code Summarization via Hybrid GNN	https://openreview.net/forum?id=zv-typ1gPxA	[7, 7, 7]	7	[7, 7, 7]	7
11	Spatio-Temporal Graph Scattering Transform	https://openreview.net/forum?id=CF-ZIuSMXRz	[6, 7, 9, 6]	7	[6, 6, 7, 9]	7
12	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs	https://openreview.net/forum?id=tGZu6DlbreV	[5, 5, 8, 7]	6.25	[6, 7, 7, 8]	7
13	Graph-Based Continual Learning	https://openreview.net/forum?id=HHSEKOnPvaO	[8, 7, 7, 6]	7	[6, 7, 7, 8]	7
14	Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning	https://openreview.net/forum?id=6DOZ8XNNfGN	[7, 7, 7, 6]	6.75	[7, 7, 7, 7]	7
15	Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective	https://openreview.net/forum?id=-qh0M9XWxnv	[6, 5, 8, 8]	6.75	[6, 6, 8, 8]	7
16	Learning to Represent Action Values as a Hypergraph on the Action Vertices	https://openreview.net/forum?id=Xv_s64FiXTv	[8, 6, 7, 5, 5]	6.2	[5, 6, 7, 8, 8]	6.8
17	GraphCodeBERT: Pre-training Code Representations with Data Flow	https://openreview.net/forum?id=jLoC4ez43PZ	[6, 7, 7, 7]	6.75	[6, 7, 7, 7]	6.75
18	Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking	https://openreview.net/forum?id=WznmQa42ZAx	[5, 7, 7, 6]	6.25	[6, 7, 7, 7]	6.75
19	On Graph Neural Networks versus Graph-Augmented MLPs	https://openreview.net/forum?id=tiqI7w64JG2	[7, 8, 7, 5]	6.75	[5, 7, 7, 8]	6.75
20	Interpreting Knowledge Graph Relation Representation from Word Embeddings	https://openreview.net/forum?id=gLWj29369lW	[7, 7, 6, 7]	6.75	[6, 7, 7, 7]	6.75
21	Wasserstein Embedding for Graph Learning	https://openreview.net/forum?id=AAes_3W-2z	[8, 6, 6, 5]	6.25	[6, 6, 7, 8]	6.75
22	Directed Acyclic Graph Neural Networks	https://openreview.net/forum?id=JbuYF437WB6	[7, 6, 6]	6.33	[6, 7, 7]	6.67
23	Learning continuous-time PDEs from sparse data with graph neural networks	https://openreview.net/forum?id=aUX5Plaq7Oy	[7, 5, 6, 6]	6	[6, 6, 7, 7]	6.5
24	Combining Label Propagation and Simple Models out-performs Graph Neural Networks	https://openreview.net/forum?id=8E1-f3VhX1o	[7, 6, 4, 6]	5.75	[6, 6, 7, 7]	6.5
25	VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks	https://openreview.net/forum?id=xHqKw3xJQhi	[8, 6, 4, 6]	6	[6, 6, 6, 8]	6.5
26	Collective Robustness Certificates	https://openreview.net/forum?id=ULQdiUTHe3y	[7, 7, 5, 6]	6.25	[5, 6, 7, 8]	6.5
27	Boost then Convolve: Gradient Boosting Meets Graph Neural Networks	https://openreview.net/forum?id=ebS5NUfoMKL	[9, 6, 5, 6]	6.5	[5, 6, 6, 9]	6.5
28	Graph Coarsening with Neural Networks	https://openreview.net/forum?id=uxpzitPEooJ	[4, 6, 7, 7]	6	[6, 6, 7, 7]	6.5
29	ColdExpand: Semi-Supervised Graph Learning in Cold Start	https://openreview.net/forum?id=3uiR9bkbDjL	[4, 4, 9, 5]	5.5	[5, 6, 6, 9]	6.5
30	CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks	https://openreview.net/forum?id=XI-OJ5yyse	[5, 7, 6, 7]	6.25	[5, 7, 7, 7]	6.5
31	Adaptive Universal Generalized PageRank Graph Neural Network	https://openreview.net/forum?id=n6jl7fLxrP	[6, 9, 7, 4]	6.5	[4, 6, 7, 9]	6.5
32	INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving	https://openreview.net/forum?id=O6LPudowNQm	[7, 7, 6, 5]	6.25	[6, 6, 7, 7]	6.5
33	Degree-Quant: Quantization-Aware Training for Graph Neural Networks	https://openreview.net/forum?id=NSBrFgJAHg	[5, 7, 6]	6	[6, 6, 7]	6.33
34	Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues	https://openreview.net/forum?id=hPWj1qduVw8	[5, 6, 6]	5.67	[6, 6, 7]	6.33
35	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning	https://openreview.net/forum?id=-6vS_4Kfz0	[5, 7, 5, 6]	5.75	[5, 6, 7, 7]	6.25
36	Embedding a random graph via GNN: mean-field inference theory and RL applications to NP-Hard multi-robot/machine scheduling	https://openreview.net/forum?id=pXmtZdDW16	[5, 5, 7, 7]	6	[5, 6, 7, 7]	6.25
37	AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models	https://openreview.net/forum?id=QkRbdiiEjM	[5, 6, 7, 7]	6.25	[5, 6, 7, 7]	6.25
38	Compositional Video Synthesis with Action Graphs	https://openreview.net/forum?id=tyd9yxioXgO	[7, 5, 7, 6]	6.25	[5, 6, 7, 7]	6.25
39	A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks	https://openreview.net/forum?id=TR-Nj6nFx42	[6, 7, 7, 5]	6.25	[5, 6, 7, 7]	6.25
40	Learning Parametrised Graph Shift Operators	https://openreview.net/forum?id=0OlrLvrsHwQ	[3, 6, 6, 7]	5.5	[5, 6, 7, 7]	6.25
41	MARS: Markov Molecular Sampling for Multi-objective Drug Discovery	https://openreview.net/forum?id=kHSu4ebxFXY	[4, 7, 6, 8]	6.25	[4, 6, 7, 8]	6.25
42	ForceNet: A Graph Neural Network for Large-Scale Quantum Chemistry Simulation	https://openreview.net/forum?id=K3qa-sMHpQX	[7, 6, 5, 7]	6.25	[5, 6, 7, 7]	6.25
43	On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections	https://openreview.net/forum?id=xgGS6PmzNq6	[5, 5, 7, 6]	5.75	[5, 5, 7, 7]	6
44	Warpspeed Computation of Optimal Transport, Graph Distances, and Embedding Alignment	https://openreview.net/forum?id=AM0PBmqmojH	[5, 7, 6, 5]	5.75	[5, 6, 6, 7]	6
45	Simple Spectral Graph Convolution	https://openreview.net/forum?id=CYO5T-YjWZV	[6, 6, 5, 4]	5.25	[5, 6, 6, 7]	6
46	Non-Local Graph Neural Networks	https://openreview.net/forum?id=heqv8eIweMY	[4, 4, 8, 7]	5.75	[4, 6, 7, 7]	6
47	Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification	https://openreview.net/forum?id=JCz05AtXO3y	[4, 6, 6, 6]	5.5	[6, 6, 6, 6]	6
48	FLAG: Adversarial Data Augmentation for Graph Neural Networks	https://openreview.net/forum?id=mj7WsaHYxj	[6, 5, 5, 7]	5.75	[5, 6, 6, 7]	6
49	Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning	https://openreview.net/forum?id=lJuOUWlAC8i	[7, 5, 5]	5.67	[5, 6, 7]	6
50	Global Attention Improves Graph Networks Generalization	https://openreview.net/forum?id=H-BVtEaipej	[5, 7, 6, 4]	5.5	[5, 6, 6, 7]	6
51	The Surprising Power of Graph Neural Networks with Random Node Initialization	https://openreview.net/forum?id=L7Irrt5sMQa	[5, 5, 7, 7]	6	[5, 5, 7, 7]	6
52	A Simple and General Graph Neural Network with Stochastic Message Passing	https://openreview.net/forum?id=fhcMwjavKEZ	[1, 6, 7, 8]	5.5	[3, 6, 7, 8]	6
53	Accurate Learning of Graph Representations with Graph Multiset Pooling	https://openreview.net/forum?id=JHcqXGaqiGn	[7, 4, 5, 4]	5	[4, 6, 7, 7]	6
54	Causal Screening to Interpret Graph Neural Networks	https://openreview.net/forum?id=nzKv5vxZfge	[4, 7, 5, 6]	5.5	[5, 5, 7, 7]	6
55	Isometric Transformation Invariant and Equivariant Graph Convolutional Networks	https://openreview.net/forum?id=FX0vR39SJ5q	[5, 4, 5]	4.67	[5, 6, 7]	6
56	Global Node Attentions via Adaptive Spectral Filters	https://openreview.net/forum?id=w6Vm1Vob0-X	[4, 7, 7]	6	[4, 7, 7]	6
57	Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach	https://openreview.net/forum?id=HmAhqnu3qu	[5, 6, 7]	6	[5, 6, 7]	6
58	How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision	https://openreview.net/forum?id=Wi5KUNlqWty	[7, 5, 8, 4]	6	[4, 5, 7, 8]	6
59	Graph Learning via Spectral Densification	https://openreview.net/forum?id=t4EWDRLHwcZ	[7, 8, 4, 5]	6	[5, 5, 6, 8]	6
60	Self-supervised Graph-level Representation Learning with Local and Global Structure	https://openreview.net/forum?id=DAaaaqPv9-q	[5, 6, 4, 8]	5.75	[5, 5, 6, 8]	6
61	Learning Latent Topology for Graph Matching	https://openreview.net/forum?id=wjJ3pR-ZQD	[4, 4, 6, 8, 6]	5.6	[4, 4, 6, 7, 8]	5.8
62	Breaking the Expressive Bottlenecks of Graph Neural Networks	https://openreview.net/forum?id=ztMLindFLWR	[5, 5, 7, 6, 4]	5.4	[5, 5, 6, 6, 7]	5.8
63	Single-Node Attack for Fooling Graph Neural Networks	https://openreview.net/forum?id=u4WfreuXxnk	[6, 6, 6, 5, 5]	5.6	[5, 6, 6, 6, 6]	5.8
64	World Model as a Graph: Learning Latent Landmarks for Planning	https://openreview.net/forum?id=1NRMmEUyXMu	[4, 7, 4, 5]	5	[5, 5, 6, 7]	5.75
65	Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation	https://openreview.net/forum?id=b7g3_ZMHnT0	[6, 4, 7, 4]	5.25	[4, 6, 6, 7]	5.75
66	Predictive Coding Approximates Backprop along Arbitrary Computation Graphs	https://openreview.net/forum?id=PdauS7wZBfC	[4, 6, 7, 6]	5.75	[4, 6, 6, 7]	5.75
67	Graph Edit Networks	https://openreview.net/forum?id=dlEJsyHGeaL	[7, 7, 4, 3]	5.25	[3, 6, 7, 7]	5.75
68	A Unified Framework for Convolution-based Graph Neural Networks	https://openreview.net/forum?id=zUMD--Fb9Bt	[7, 5, 5, 6]	5.75	[5, 5, 6, 7]	5.75
69	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization	https://openreview.net/forum?id=J_pvI6ap5Mn	[5, 6, 6, 7]	6	[4, 6, 6, 7]	5.75
70	Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning	https://openreview.net/forum?id=wbQXW1XTq_y	[5, 7, 6, 5]	5.75	[5, 5, 6, 7]	5.75
71	Data-driven Learning of Geometric Scattering Networks	https://openreview.net/forum?id=Mh1Abj33qI	[4, 8, 5, 6]	5.75	[4, 5, 6, 8]	5.75
72	FactoredRL: Leveraging Factored Graphs for Deep Reinforcement Learning	https://openreview.net/forum?id=wE-3ly4eT5G	[5, 6, 6, 5]	5.5	[5, 6, 6, 6]	5.75
73	Energy-based View of Retrosynthesis	https://openreview.net/forum?id=0Hj3tFCSjUd	[5, 5, 5, 8]	5.75	[5, 5, 5, 8]	5.75
74	Deep Graph Neural Networks with Shallow Subgraph Samplers	https://openreview.net/forum?id=GIeGTl8EYx	[5, 6, 7, 6]	6	[5, 5, 6, 7]	5.75
75	DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues	https://openreview.net/forum?id=kDnal_bbb-E	[6, 5, 5, 6]	5.5	[5, 6, 6, 6]	5.75
76	Lossless Compression of Structured Convolutional Models via Lifting	https://openreview.net/forum?id=oxnp2q-PGL4	[5, 5, 6]	5.33	[5, 6, 6]	5.67
77	Discrete Graph Structure Learning for Forecasting Multiple Time Series	https://openreview.net/forum?id=WEHSlH5mOk	[7, 4, 6]	5.67	[4, 6, 7]	5.67
78	To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph	https://openreview.net/forum?id=lDjgALS4qs8	[5, 5, 6]	5.33	[5, 6, 6]	5.67
79	A Framework For Differentiable Discovery Of Graph Algorithms	https://openreview.net/forum?id=ueiBFzt7CiK	[7, 6, 4]	5.67	[4, 6, 7]	5.67
80	Learning to Search for Fast Maximum Common Subgraph Detection	https://openreview.net/forum?id=HP-tcf48fT	[5, 5, 7]	5.67	[5, 5, 7]	5.67
81	GG-GAN: A Geometric Graph Generative Adversarial Network	https://openreview.net/forum?id=qiAxL3Xqx1o	[7, 5, 6, 5, 5]	5.6	[5, 5, 5, 6, 7]	5.6
82	On the Bottleneck of Graph Neural Networks and its Practical Implications	https://openreview.net/forum?id=i80OPhOCVH2	[6, 5, 8, 4, 5]	5.6	[4, 5, 5, 6, 8]	5.6
83	Generalizing Graph Convolutional Networks via Heat Kernel	https://openreview.net/forum?id=yBJihVXahXc	[5, 7, 5, 6]	5.75	[5, 5, 6, 6]	5.5
84	Generative Scene Graph Networks	https://openreview.net/forum?id=RmcPm9m3tnk	[6, 4, 6, 5]	5.25	[4, 6, 6, 6]	5.5
85	Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy	https://openreview.net/forum?id=bIQF55zCpWf	[6, 5, 7, 5]	5.75	[5, 5, 6, 6]	5.5
86	Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification	https://openreview.net/forum?id=B9t708KMr9d	[7, 6, 4, 5]	5.5	[4, 5, 6, 7]	5.5
87	Multi-hop Attention Graph Neural Network	https://openreview.net/forum?id=muppfCkU9H1	[7, 8, 4, 5]	6	[4, 5, 6, 7]	5.5
88	Accurately Solving Rod Dynamics with Graph Learning	https://openreview.net/forum?id=v2tmeZVV9-c	[4, 6, 5, 4]	4.75	[4, 6, 6, 6]	5.5
89	Learning Discrete Adaptive Receptive Fields for Graph Convolutional Networks	https://openreview.net/forum?id=pHkBwAaZ3UK	[5, 5, 4, 7]	5.25	[5, 5, 5, 7]	5.5
90	Recursive Neighborhood Pooling for Graph Representation Learning	https://openreview.net/forum?id=jH7wTMOYvbw	[6, 6, 4, 6]	5.5	[4, 6, 6, 6]	5.5
91	On Low Rank Directed Acyclic Graphs and Causal Structure Learning	https://openreview.net/forum?id=gdtGg1hCK2	[7, 5, 6, 6]	6	[5, 5, 6, 6]	5.5
92	Inductive Collaborative Filtering via Relation Graph Learning	https://openreview.net/forum?id=xfNotLXwtQb	[6, 6, 4, 6]	5.5	[4, 6, 6, 6]	5.5
93	Iterative Graph Self-Distillation	https://openreview.net/forum?id=Z532uNJyG5y	[6, 5, 5, 6]	5.5	[5, 5, 6, 6]	5.5
94	Don't stack layers in graph neural networks, wire them randomly	https://openreview.net/forum?id=eZllW0F5aM_	[7, 3, 8, 5]	5.75	[4, 5, 5, 8]	5.5
95	SoGCN: Second-Order Graph Convolutional Networks	https://openreview.net/forum?id=JeweO9-QqV-	[5, 5, 7, 5]	5.5	[5, 5, 5, 7]	5.5
96	Towards Robust Graph Neural Networks against Label Noise	https://openreview.net/forum?id=H38f_9b90BO	[6, 5, 4, 7]	5.5	[4, 5, 6, 7]	5.5
97	Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data	https://openreview.net/forum?id=gW8n0uD6rl	[5, 5, 5, 5]	5	[5, 5, 6, 6]	5.5
98	Beyond GNNs: A Sample Efficient Architecture for Graph Problems	https://openreview.net/forum?id=Px7xIKHjmMS	[3, 5, 8, 5]	5.25	[4, 5, 5, 8]	5.5
99	SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks	https://openreview.net/forum?id=a5KvtsZ14ev	[5, 5, 7, 5, 5]	5.4	[5, 5, 5, 5, 7]	5.4
100	Matrix Shuffle-Exchange Networks for Hard 2D Tasks	https://openreview.net/forum?id=Ns8v4jHGyAV	[8, 4, 4]	5.33	[4, 4, 8]	5.33